<<


, , . . , , , . . , . , .

, , , . , . , . , , , . , , , , , . , .

, , , , . .

1.  Albert A., Sittler R W. A Method for Computing Least Squares Estimators That Keep Up with the Data J SIAM Control, 1965, ser A, v 3, p 384417 (7,T)

2.  Anderson B. D. O. An Algebraic Solution to the Spectral Factorization Problem IEEE Trans Autom Control 1967, v AC 12, N 4, p 410414 (7 4, T)

3.  Anderson B. D. O., Moore J. B. State Estimation via the Whitening Filter Proc Joint Autom Control Conf, June, 1968, p 123129, Ann Arbor, Mich (7, )

4.  Anderson T. W. An Introduction to Multivariate Statistical Analysis, John Wiley & Sons, Inc, New York, 1958 (2, 3, T)

. . T. . . . . . , , 1961

5.  Andrews A. A. Square Root Formulation of the Kalman Covariance Equations AIAA J, 1968, v 6, N 6 p 11651166 (8 5, T)

6.  Aoki M., Huddle J. R. Estimation of the State Vector of a Linear Stochastic System with a Constrained Estimator IEEE Trans Autom Control, 1967, v AC 12 N 4, p 432433 (7, )

7.  Athans M. The Relationship of Alternate State Space Representations in Linear Filtering Problems IEEE Trans Autom Control, Dec 1967, v AC 12, N 6 p 775776 (7 3, T)

8.  Athans M. The Matrix Minimum Principle Inform Control, 1968, v 11, p 592606 (, T)

9.  Athans M., Falb P. L. Optimal Control An Introduction to the Theory and Its Applications, McGraw Hill Book Company, New-York, 1966 (T)

10.  Athans M., Schweppe F. . Gradien Matrices and Matrix Calculations, MIT Lincoln Lab Tech Note, 196553 Lexington, Mass, 1965 (7 3, T)

11.  Athans M., Schweppe F. C. Optimal Waveform Design via Control Theoretic Concepts Inform Control, 1967, v. 10, N 4, p. 335377 (7, , T)

12.  Athans M., Tse E. A Direct Derivation of the Optimal Linear Filter Using the Maximum Principle IEEE Trans Autom Control, 1967, v AC-12, N 6, p 690698 (7 3, T)

13.  Athans M., Wishner R. P., Bertolini A. Suboptimal State Estimation for Continuous time Nonlinear Systems from Discrete Noisy Measurements IEEE Trans Autom Control, 1968, v AC-13, N 5, p 504514 (9 4, T)

14.  Baggeroer A. B. Maximum a Posteriori Interval Estimation, presented at WESCON, Aug 1966, session 7, The Application of State-variable Techniques to Communication and Radar Problems (6 2, 9 3, T)

15.  Baghdady E. JM Kruse W. Signal Design for Space Communication and Tracking Systems IEEE Trans Commun Technol, 1965, v COM-13, N 4, p. 484498 (6 , )

16.  Balakrishnan A. V. A General Theory of Nonlinear Estimation Problems in Control Systems J Math Anal Appl, 1964, v 8, N 1, p 430 (9. T).

17.  Balakrishnan A. V. On a Class of Nonlinear Estimation Problems IEEE Trans Inform Theory, 1964, v IT-10, N 4, p 314320 (9, T)

18.  Balakrishnan A. V. Communication Theory, McGraw-Hill Book Company. New York, 1968 ( , T)

. . . .. . . . . . , 1972

19.  Bass R. W., Norum V. D., Schwartz L. Optimal Multichannel Nonlinear Filtering J Math Anal Appl, 1966, v 16, p 152164 (9 2, T)

20.  Battin R. H. A Statistical Optimizing Navigation Procedure for Space Flight ARS J, 1962, v 32, p 16811996 (7, T)

21.  Battin R. H. Astronautical Cuidance. McGraw-Hill Book Company, New- York, 1964 (8 5, T)

22.  Beckmann P. Probability in Communication Engineering, Harcourt, Brace & World, Inc, New-York, 1967 (2,3,4 2, T)

23.  Bellantoni J. F., Dodge K. W. A Square Root Formulation of the Kalman- Schmidt Filter AIAAJ, 1967, v 5, N 7, p 13091314 (8 5, )

24.  Bellman R. E., Kagiwada H. H., Kalaba R. E., Sridhar R. Invariant Imbedding and Nonlinear Filtering Theory J Astron Sci, 1966, v 13, p 110 115 (9 3 T)

25.  Bellman R. F., Kalaba R. On the Fundamental Equations of Invariant Im bedding 1 Proc National Academy of Sciences, U S A, 1961, v 47, p 336 338 (9 3 T)

26.  Bendat J. S. Principles and Application of Random Noise Theory John Wiley & Sons, Inc, New York, 1958 ( , T)

Pc. . . . . . . . . , , 1965

27.  Bendat J. S., Pierson A. G. Measurement and Analysis of Random Data, John Wiley & Sons, Inc, New-York, 1966 (3,4,T)

28.  Bharucha-Reid A. T. Elements of the Theory of Markov Processes and Their Applications McGraw Hill Book Company, New York, 1960 (4 2, 4 3 T)

. . . . A. T. . . . . . . , , 1969

29.  Bode . W., Shannon . . A Simplified Derivation of Linear Least-squares Smoothing and Prediction Theory Proc IRE, 1950, v 38, p 417425 (7 4, T)

30.  Bongiorno J. J., JR., Youla D. C. On Observers in Multi-variable Control Systems Intern J Control, 1968, v 8, N 3, p 221243 (7)

31.  Booton R. C. An Optimization Theory for Time varying Linear Systems with Nonstationary statistical Inputs Proc IRE, 1952, v 40, p 977981

32.  Bryson A. E., Jr. Applications of Optimal Control Theory in Aerospace Engineering. J. Spacecraft Rockets, 1967, v. 4, p. 545553 (7, Ï).

33.  Bryson A. E., Frazier M. Smoothing for Linear and Nonlinear Dynamic Systems. Proc. Optimum System Synthesis Conf., 11962, Sept., p. 1113, Wright-Patterson AFB, Ohio (8.3,T).

34.  Bryson A. E., Henrikson L. J. Estimation Using Sampled-data Containing Sequentially Correlated Noise, Harvard' University, Div. Eng. Appl. Phys., Tech. Rept. 533, Cambridge, Mass, June, 1967 (8.2, T).

35.  Bryson A. ., Ho Y. C. Applied Optimal Control, Blaisdell Publishing Company, Waltham, Mass., 1969 (7,8,9,T).

36.  Bryson A. E., Johansen D. E. Linear Filtering for Time-varying Systems Using Measurements Containing Colored Noise. IEEE Trans. Autom. Control, 1965, v. AC-10, N I, p. 410 (8.2, T).

37.  Bucy R. S. Nonlinear Filtering Theory. IEEE Trans. Autom. Control, 1965, v. AC-10, N 2, p. 198199 (9. 2,T).

38.  Bucy R. S. Optimal Filtering for Correlated Noise. J. Math. Anal. Appl., 1967, v. 20, p. 18 (8. 2,T).

39.  Bucy R. S., Joseph P. D. Filtering for Stochastic Processes with Applications to Guidance, John Wiley & Sons, Inc., New-York, 1968 (7,8,9. 2, ,).

40.  Carney T. M., Coldwyn R. M. Numerical Experiments with Various Optimal Estimators. J. Opt. Theory Appl., 1967, v. 1, N 2, p. 113130 (8,9, ).

41.  Chang S. S. L. Synthesis of Optimum Control Systems, McGraw-Hill Book Company, New-Work, 1961 ( , T).

. .: . . . . . . . . . . ., , 1964.

42.  Choate W. Ñ., Sage À. P. Operator Algebra for Differential Systems.- IEEE Trans. System Sci. and Cybernetics, 1967, v. SSC-3, N 3, p. 137147 (7.5.T).

43.  Collins L. D. Realizable Whitening Filters and State-variable Realizations.Proc. IEEE, 1968, v. 56, N 1, p. 100101 (7, ).

44.  Collmeyer A. J., Cupta S. C. Linear Filtering with Constraints, Proc. Joint Autom Control Conf., June 1968, p. 167144, Ann Arbor, Mich. (7, ).

45. Cox D. R., Miller H. D. Theory of Stochastic Processes, John Wiley & Sons, Inc., New-York, 1965 (2 3, 4. 2,T).

46. Gox H. On the Estimation of State Variables and Parameters for Noisy Dynamic Systems. IEEE Trans. Autom. Control, 1964, v. AC-9, N I, p. 512 (9. 3, T).

47.  Cox H. Estimation of State Variables via Dynamic Programming, Proc. Joint Autom. Control Conf., June 1964, p. 376381, Stanford University, Leland- Stanford, Calif (9.3, T).

48.  Cramer H. Mathematical Methods of Statistics. Princeton University Press, Princeton, New-York, 1946 (2, 3, 4,T).

Pyc. nep.: . . . . . . . , ˻, 1948.

49. Darlington S. Linear Least Squares Smoothing and Prediction, with Applications. Bell System Tech. J., 1958, v. 37, p. 12211294 (7.4, T).

50.  Davenport W. Â., Root W. L. Introduction to Random Signals and Noise, McGraw-Hill Book Company, New-York, 1958 (2, 3, 4, , T).

. . . ., . . . . . . . ., ˻, 1960

51.  Davis M. C. Factoring the Spectral Matrix. IEEE Trans. Autom. Control, 1963, v. AC-8, N 4, p. 296305 (7. 4, T).

52.  Danham W. F., Pines S. Sequential Estimation When Measurement Function Nonlinearity Is Comparable to Measurement Error. AIAAJ, 1966, v. 4, N 6, p. Þ711076 (9. 4, T).

53.  Detchmendy D. M., Sridhar R. Sequential Estimation of States and Parameters in Noisy Nonlinear Dynamical Systems. Trans. ASME, J. Basic Eng.,1966, v. 88D, p. 362366, April (9.3, T).

54.  Deutsh R.,Estimation Theory, Prentice-Hall, Inc., Englewood Cliffs, New- York, il965 ( , T).

55.  DiToro D. M., Steiglitz K. Application of the Maximum Principle to the Design of Minimum Bandwidth Pulses. IEEE Trans. Commun. Technol., 1965, v. COM-13, N 4, p. 433433 ( , T).

56.  Doob J. L. Stochastic Processes. John Wiley & Sons, Inc., New-York, 1953. (3, 4, T).

. .: . . . . . . . , ., ˻, 1956.

57.  Dubes R. . The Theory of Applied Probability, Prentice-Hall, Inc., Engle- wood Cliffs, New-York, 1968 (2, 3,4. 2, T).

58.  Dyer P., McReynolds S. Extension of Square Root Filtering to Include Process Noise. J. Opt. Theory Appl., 1969, v. 3, N 6, p. 444458 (8.5,T).

59.  Esposito R. On a Relation between Detection and Estimation in Decision Theory. Inform. Control, 1968, v. 12, p. 116120 (3. 7,T).

60.  Fagin S. L. Recursive Linear Regression Theory, Optimal Filter Theory, and Error Analyses of Optimal Systems, 1964. IEEE Intern. Conv. Record, New-York, Mar. 2326, 1964, p. 216240 (8.4,T).

61.  Fagin S. L. Feedback Realization of a Continuous time Optimal Filter. I Trans. Aerospace Electron Syst., 1967, v. AES-3, N 3, p. 494509 (7, ).

62.  Fagin S. L. The weighting Function Form of the Continuous Optimal Filter. Proc. Joint Autom. Control Conf., June, 1968, p. 619625, Ann Arbor, Mich. (7,.).

63.  Fagin S. L., Grinoch E., Graefe A. Continuous Time varying Optimal Feedback Applied to the Augmentation and Rapid Alignment of Inertia Systems. IEEE Aerospace Systems Conf., July 1115, 1966, p. 661678, Seattle, Wash. (7, ).

64.  Fang . T. Kalman-Bucy Filter for Optimum Radio-inertial Navigation. IEEE Trans. Autom. Control, 1967, v. AC-12, N 4, p. 43-431 (7, ).

65.  Feller W. An Introduction to Probability Theory and Its Applications, John Wiley & Sons, Inc., New-York, 1950, 1957, v. 1, (2, T).

. . : . , . 1. . . . . . . ., , 1952, 1967.

66.  Feller W. An Introduction to Probability Theory and Its Applications, John Wiley & Sons, Inc., New-York, 1966 (2, T).

. .: . . . 2. . . . . . ., , 1967.

67.  Fisher J. R. Optimal Nonlinear Filtering, Advan. Control Systems, 1967, v. 5, p. 197300 (9. 2, T).

68. Fisher J. R., Stear E. B. Optimal Nonlinear Filtering for Independent Increment Processes Parts I and II. IEEE Trans. Inform. Theory, 1967, v. IT-13, N 4, p. 558578 (9.2, T).

69.  Fisher R. A. Theory of Statistical Estimation. . Cambridge Phil. Soc., 1925, v. 22, p. 700 (6,T).

70.  Fraser Donald C. On the Application of Optimal Linear Smoothing Techniques to Linear and Nonlinear Dynamic Systems. Ph. D. Thesis, Massachusetts Institute of Technology, January, 1967.

71.  Friedland B. Treatment of Bias in Recursive Filtering. IEEE Trans. Autom Control, 1969, v. AC-14, N 4, p. 359367 (7.5, T).

72.  Friedland ., Bernstein I. Estimation of the State of a Nonlinear Process in the Presence of Nongaussian Noise and Disturbances. J. Franklin Inst.. 1966, v 281, N 6, p. 455480 (9.4,T).

73.  Frost P. A. Nonlinear Estimation in Continuous Time Systems, Stanford Univ., Systems Theory Lab., Tech. Rept. 63044, "U. S. Air Force Contract F3361567C1245, May 1968 (4.4,9. 2, T).

74.  . P. . M., , 1966.

75.    Gauss . F. Theory of the Motion of the Heavenly Bodies Moving about the Sun in Conic Sections, 1809 Dover Publications, Inc., New-York, 1963. Reprint (6, T).

76.  Golomb S. W. et al Digital Communications with Space Applications, Prentice-Hall, Inc, Englewood Cliffs, New-York, 1964 ( , , T).

. . . . . . . . . . . , , 1969

77.  Gray A. H., Caugney T. K. A Controversy in Problems Involving Random Parametric Excitation J Math Phys , September 1965, v 44, p 288296 (4 4, T)

78.  Graybill F. A. An Introduction to Linear Statistical Models McGraw-Hill Book Company, New-York, 1961, v 1 (2,3,4 2, T)

79.  Grenander U., Rosenblatt M. Statistical Analysis of Stationary Time Series, John Wiley & Sons, Inc, New-York, 1957 (2, 3, 4 2, T)

80.  Griffin R. E., Sage A. P. Large and Small Scale Sensitivity Analysis of Optimum Estimation Algorithms IEEE Trans Autom Control, 1968, v. AC-13, N 4, p 320329 (8 4, T)

81.  Griffin R. ., Sage A. P. Error Bounds for Optimum Smoothing Algorithms Proc Matl Electron Conf, December 1968, p 5863 (8 4, T)

82.  Griffin R. E., Sage A. P. Sensitivity Analysis of Fixed Point Linear Smoothing Algorithms Intern J Control, 1968, v 8, N 4, p 321337 (8 4, T)

83.  Griffin R. E., Sage A. P. Error Bounds in Optimum Smoothing Proc IEEE, 1969, v 57, N 4, p 725726 (8 4, T)

84.  Griffin R. E., Sage A. P. Sensitivity Analysis of Discrete Filtering and Smoothing Algorithms À1ÀÀ J, 1969, v 7, N 10, p 18901897 (8 4.T).

85.  Hahn W. Theory and Application of Liapunow's Direct Method Prentice- Hall, Inc, Englewood Cliffs, New York, 1963 (7 5, T)

86.  Hancock J. C., Wintz P. A. Signal Detection Theory McGraw-Hill Book Company, New-York, 1966 (5, T)

87.  Heffes H. The Effect of Erroneous Models on the Kalman Filter Response IEEE Trans Autom Control, 1966, v AC-11, N 3, p 541543 (8 4, T)

88.  Helstrom C. W. Statistical Theory of Signal Detection Pergamon Press, Inc, London, 1960 (5, T)

. . . . . . . . . , ˻, 1963

89.  Hildebrand F. B. Methods of Applied Methematics Prentice Hall,, Inc Englewood Cliffs, New York, 1965 ( , T)

90.  . L., Kalman R. . Spectral Factorization Using the Riccati Equation, Aerospace Corp Rept TR 1001 (2307)-1, November, 1966 (7 4, T)

91.  Ho Y. C. On the Stochastic Approximation Method and Optimal Filter Theory J Math Anal Appl, 1962 v 6, p 152154 ( 6, 7, T)

92.  Y. . The Method of Least Squares and Optimal Filtering Theory, RAND corp RM-3329-PR, October, 1963 (6 7, T)

93.  Ho Y. C., Agrawala A. K. On Pattern Classification Algorithms, Introduction and Survey Proc IEEE, 1968, v 56, N 12, p 21012114 ( , T)

94.  Y. ., Lee R. . . A Bayesian Approach to Problems in Stochastic Estimation and Control IEEE Trans Autom Control, 1964, v AC 9, N 4, p 333339 (7 2, T)

95.  Holtzman J. M. Signal Noise Ratio Maximization Using the Pontryagin Maximum Principle Bell System Tech J, 1966, v 45, N 3, p 433488 ( , T)

96.  Jazwinski A. H. Limited Memory Optimal Filtering IEEE Trans Autom Control, 1968, v AC-13, N 5, p 558563 (7, )

97.  Jazwinski A. H. Adaptive Filtering Automatical 1969, v 5, N 4, p 475485 (8 4, T)

98.  Johansen D. E. Solution of a Linear Mean Square Estimation Problem When Process Statistics Are Undefined IEEE Trans Autom Control, 1966, v AC 11, N 1, p 20-30 (8 4, T)

99.  Kagiwada H. H., Kalaba R. E., Schumitzky A., Sridhar R. Invariant Imbadding and Sequential Interpolating Filters for Nonlinear Processes, Trans ASME J Basic Eng , 1969, v 91D, N 2, p 195200 (9 5, T)

100. Kailath T. Adaptive Matched Filters, Proc Symp Math Optimization Tech, University of California Press, Berkeley, 1963 (5, T)

101.  Kailath T. An Innovations Approach to Least Squares Estimation-Part 1 Linear Filtering in Additive White Noise IEEE Trans Autom Control, 1968, \ AC-13, N 6, p 646655 (7 3, T)

102.  Kailath T. A General Likelihood Ratio Formula for Random Signals in Guussian NoiseIEEE Trans Inform Theory, 1969, v IT-15, N 3, p 350 361 (5 7, T)

103.  Kailath T., Frost P. Mathematical Modeling for Stochastic Process, Stochastic Problems in Control Proc of Symposium of AACC, published by ASME, June, 1968, Ann Arbor, Mich, (4 4, 9 2, T)

104.  Kailath T., Frost P. An Innovations Approach to Least Squares Estimation , Part II Linear Smoothing in Additive White Noise IEEE Trans Autom Control, 1968, v AC 13, N 6, p 655660 (8 3, T)

105.  Kalman R. E. A New Approach to Linear Filtering and Prediction Problems Trans ASME, J Basic Eng, 1960, v 82D, p 3445 (7, T)

106.  Kalman R. E. On the General Theory of Control Systems Proc IFAC Moscow Congress, 1960, v 1, p 481492 Butterworth Inc, Washington, D C (7 5, T)

107.  Kalman R. E. New Methods in Wiener Filtering Theory Proc First Symp Eng Appl Random Functions Theory Probability, 1963, John Wiley & Sons, Inc , New-York (7, T)

108.  Kalman R. E. When is Linear Control System Optimal? Trans ASME, J Basic Eng, March 1964, v 86D, p 5160 (7 4, T)

109. Kalman R. E. Linear Stochastis Filtering Theory Proc Symp System Theory, 1965, p 197205, Polytechnic Press, Brooklyn, New-Work (7, T)

110.  Kalman R. E., Bertram J. E. Control System Analysis and Design via the Second Method of Liapunov, 1, Continuous time Systems Trans. ASME, J Basic Eng, 1960, v 82D, p 371393

111.  Kalman R. E., Bucy R. New Results in Linear Filtering and Prediction Theory Trans ASME, J Basic Eng, March 1961, v 83D, p 95108 (7, T)

112.  Kalman R. E., Englar T. S., Bucy R. S. Fundamental Study of Adaptive Control System, Wright Patterson Air Force Base, Ohio, ASD-TR 6127, 1961 (7, T)

113.  Kalman R. E., Falb P. L., Arbib M. A. Topics in Mathematical System Theory, McGraw Hill Book Company, New-York, 1969 (7 5, T)

114.  Kalman R. E., Ho Y. C., Nahendra K- S. Controllability of Linear Dynamical Systems Contributions to Differential Equations, 1962, v 1, N 2, p 189213 (7 5, T)

115.  Klein P. I. Application of the Concept of Referenced Radio Navigation IEEE Trans Aerospace Electron Systems, 1968, v AES-4, N 4, p 494498 (7, )

116.  Klinger A. Prior Information and Bias in Sequential Estimation IEEE Trans Autom Control, February 1968, p 102105 (6 5)

117.  Knoll A., Edelstein M. Estimation of Local Vertical and Orbital Parameters for an Earth Satellite Using Horizon Sensor Measurements AIAA J, 1965, v 3, N 2, p 338345 (8 5, )

118.  Korn G. A., Korn T. M. Mathematical Handbook for Engineers and Scientists McGraw-Hill Book Company, New-York, 1961

. . ., . . . . . . . , , 1970

119.  Kozin C. H., Cooper G. R. The Use of Prior Estimates in Successive Point Estimations of a Random Signal J SIAM Appl Math, 1966, v 14, N 1, p 112130 (6 5, T)

120.  Kreindler E., Sarachik P.E. On the Concepts of Controllability and Observability of Linear Systems IEEE Trans Autom Control, 1964, v AC0-9, N 2, p. 129-136 (7 5, T)

121.  Kroy W. H., Stubberud A. R. Identification via Nonlinear Filtering Intern J Control, 1967, v 6, N 6, p 499522 (9 4, T)

122.  Kullback S. Information Theory and Statistics, John Wiley & Sons, Inc, New-York, 1959 (7 5, T)

. . . . . . . . . , , 1967

123.  uo . . Analysis and Synthesis of Sampled-Data Control Systems Prentice-Hall, Inc, Englewood Cliffs, New-York, 1963 (7 4, T)

124.  Kushner H. J. On the Differential Equations Satisfied by Conditional Probability Densities of Markov Processes, with Applications J SIAM Control, ser À, 1962, v 2, N 1, p 106119 (9 2, T)

125.  Kushner H. J. Dynamical Equations for Optimal Nonlinear Filtering J Differential Equations, 1967, v 3, p 179190 (9 2, T)

126.  Kushner H. J. Nonlinear Filtering The exact Dynamic Equations Satisfied by the Conditional Mode IEEE Trans Autom Control, 1967, v AC 12, N 3, p 262267 (9 2, T)

127.  Kushner H. J. Approximations to Optimal Nonlinear FiltersIEEE Trans Autom Control, 1967, v AC-12, N 5, p 546556 (9 2, T)

128.  Kwakernaak H. Optimal Filtering in Linear Systems with Time Delays IEEE Trans Autom Control, 1967, v AC 12, N 2, p 169173 (7,T)

129.  Laning J. H., Jr., Battin R. H. Random Processes in Automatic Control McGraw-Hill Book Company, New-York, 1956 (2,3,4.2, , T)

Pc. . X, . . . . . . . . , ˻, 1958

130.  Larson R. E., Peschon J. A Dinamic Programming Approach to Trajectory Estimation IEEE Trans Autom Control, 1966, v AC-U, N 3, p 537540 (9, T)

131.  Lawson J. L., Uhlenbeck G. E. Threchold Signals, McGraw-Hill Book Company, New-York, 1950 (2,3,4 2, T)

. . . . . . . . , ., , 1952

132.  Lee B. The improvement of a Low cost Inertial Navigator through Conditional Feedback IEEE Trans Aerospace Electron Systems, 1968, v AES-4, no, p 627634 (7, )

133.  Lee R. C. K. Optimal Estimation, Identification and Control M I T Res Monograph 28, Cambridge, Mass, 1964 (7, 8, 9, T)

. . P. . . , . . . . 3. , , 1966

134.  Lee Y. W. Statistical Theory of Communication John Wiley & Sons, Inc, New-York, 1960 (2,3,4 2,7 4, T)

135.  Legendre A. M. Nouvelles methodes pour la determination des orbites des cometes Paris, 1806 (6, T)

136.  Lehman E. L. Testing Statistical Hypotheses John Wiley & Sons, Inc, New York, 1959 (5, T)

. . . . . . . . , , 1964

137.  Leondes C. T., Peller J. B., Stear E. B. Nonlinear Smoothing Theory IEEE Trans System Sci Cybernetics, 1970, v SSC-6, N 1 (9, T)

138.  Liebelt P. B. An Introduction to Optimal Estimation Addison-Wesley Publishing Company, Inc, Reading, Mass, 1967 (2,3,4 2, 7, T)

139.  Loeve M. Probability Theory D Van Nostrand Company, Inc, Princeton, New York, 1955 (2,3,4 2, T)

. . M. . . . . . . , ˻, 1962

140.  Lucky R. W., Salz J., Weldon E. J. Jr. Principles of Data Communication McGraw-Hill Book Company, New-York, 1968 ( , )

141.  Luenberger D. G. Observing the State of a Linear System IEEE Trans Mil Electron, 1964, April, v MIL-8, p 7480 (7,T).

142.  Luenberger D. G. Observers for Multivariable Systems. IEEE Trans Autom Control, 1966, v AC-11, N 2, p 190197 (7, T)

143.  McAulary R. J. Numarical Optimization Techniques Applied to PPM Signal Design IEEE Trans, Inform Theory, 1968, v IT-14, N 5, p. 708716 ( , T)

144.  McBride A. L., Sage A. P. Optimum Estimation of Bit Synchronization IEEE- Trans Aerospace Electron Systems, 1969, v 5, N 3, p 525536 (6, )

145.  McBride A. L., Sage A. P. On Discrete Sequential Estimation of Bit Synchronization IEEE Trans Comm Technology, 1970, v 18, N 1, p 4868 (6, )

146.  McGhee R. B., Walford R. B. A Monte Carlo Approach to the Evaluation of Condition Expectation Parameter Estimates for Nonlinear Dynamic Systems IEEE Trans Autom Control, 1968, v AC-13, N 1, p 2936 (9 2,9 4, )

147.  McLendon J. R., Sage A. P. Computational Algorithms for Discrete Detection and Likelihood Ratio Computation Information Sciences, 1970, v 2, N 3 (5 9, T)

148.  McReynolds S. R. A New Approach to Stochastic Calculus, presented at the Seminar on Guidance Theory and Trajectory Analysis, May 31, 1967, NASA Electronics Research Center, Cambridge, Mass (4 4, T)

149.  Magil D. T. Optimal Adaptive Estimation of Sampled Stochastic Processes IEEE Trans Autom Control, 1965, v AC-10, N 4, p 434439 (8 4, )

150.  Mayne D. Q. A Solution of the Smoothing Problem for Linear Dynamic Systems Automatics, 1966, v 4, p 7392 (8 3, T)

151.  Meditch J. S. Orthogonal Projection and Discrete Optimal Linear Smoothing SIAM J Control, 1967, v 5, N 1, p 7480 (8 3,T)

152.  Meditch J. S. Optimal Fixed Point Continuous Linear Smoothing Proc Joint Autom Control Conf, June 1967, p 249257 (8 3, T)

153.  Meditch J. S. The WienerHopf Solution and the Optimal Fixed Point Smoothing Problem Inform processing Control Systems Lab Tech Rept 67II, June 1967 (8 3, T)

154.  Meditch J. S. On Optimal Fixed Point Linear Smoothing, Boeing Sci Res Lab Inform Sci Rept 1, August 1967 (8 3, T)

155.  Meditch J. S. On Optimal Linear Smoothing Theory Inform Control, 1967, v 10, p 598615 (8 3,T)

156.  Meditch J. S. A Successive Approximation Procedure for Nonlinear Data Smoothing, Proc Symp Inform Processing, April 1969, p 555568, Purdue University, Lafayette, Ind

157.  Meditch J. S. Stochastic Optimal Linear Estimation and Control McGraw- Hill Book Company, New-York, 1969 (2, 3, 4, 7, 8, T)

158.  Mehra R. K. On Optimal and Suboptimal Linear Smoothing, Proc 1968, Nat Electron Conf, 1968, p 119124 (8 4, T)

159.  Mehra R. K., Bryson A. E. Jr. Linear Smoothing Using Measurements Containing Correlated Noise with an Applicatoin to Inertial Navigation IEEE Trans Autom Control, 1968, v AC-i3, N 5, p 496503 (8 2,8 3, T)

160.  Mehra R. K-, Bryson A. E. lr. Smoothing for Time varying Systems Using Measurements Containing Colored Noise, Proc Joint Autom Control Conf, 1968, p 871883, Ann Arbor, Mich (8 2,8 3, T)

161.  Melsa J. L. Frequency Domain Derivation of the Stationary Kalman Filter Proc Tirst Ann Hounston Conf Circuits Systems Computers, 1969, p 323332 (7 4, T)

162.  Melsa J. L., Schultz D. Linear Control Systems McGraw Hill Book Company, New-York, 1969 ( , T)

163.  Middleton D. Introduction to Statistical Communication Theory McGraw- Hill Book Company, New York, 1960 (2 3, 4, 5, 6, , T)

. . . . . . . . . , , 1, 1961 2, 1962

164.  Middleton D., Esposito R. Simultaneous Optimum Detection and Estimation of Signals in Noise IEEE Trans Inform Theory, 1968, v IT-14, N 3, p 434444 (5 7, T)

165.  Middleton DM Van Meter D. Detection and Extraction of Signals in Noise from the Point of View of Statistical Decision Theory J Soc Ind. Appl Math, 1955, v 3, p 192, 1956, v 4, p 86 (5, T)

166.  Mood A. M., Graybill F. A. Introduction to the Theory of Statistics, 2d ed, McGraw-Hill Book Company, New-York, 1963 (2 3,4 2, 5, 6, T)

167.  Moore J. B. Optimum Differntiation Using Kalman Filter Theory Proc. IEEE, 1968, v 56, N 5, p 871 (7, )

168.  Nash R. A. The Estimation and Control of Terrestrial Inertial Navigation System Errors Due to Vertical Deffections IEEE Trans Autom Control, 1968, v. AC-13, N 4, p 329338 (7, , )

169.  Nash R. A., Tuteur F. B. The Effect of Uncertainties in the Covariance Matrices on the Maximum Likelihood Estimate of a Vector IEEE Trans Autom Control, 1968, v 13, 1, p 8688 (8 4, T)

170.  Neal S. R. Linear Estimation in the Presence of Errors in Assumed Plant Dynamics IEEE Trans Autom Control, 1967, v AC-12, N 5, p 592594 (8 4 T)

171.  Newbold P. M., Ho Y. C. Detection of Changes in Characteristics of a Gauss-Markov Process IEEE Trans Aerospace Electron Systems, 1968, v AES 4, N 5, p 707718 (5 7, T)

172.  Newton G. C. et al. Analytical Design of Linear Feedback Controls John Wiley & Sons, Inc, New-York, 1957 (7 4,T)

173.  Nishimura T. On the Apriori Information in Sequential Estimation Problems IEEE Trans Autom. Control, 1966, v AC-11, N 2, p 197204 (8 4 T)

174.  Nishimura T. Correction to and Extension of On the Apriori Information in Sequential Estimation Problems IEEE Trans Autom Control, February 1967, v AC-12, p 123 (8 4, T)

175.  Nishimura T. Error Bounds of Continuous Kalman Filters and the Application to Orbit Determination Problems IEEE Trans Autom Control, 1967, v AC-12, N 3, p 268275 (8 4, T)

176.  North D. O. Analysis of the Factors Which Determine Signal/Noise Discrimination in Pulse Carrier Systems Proc IRE, 1963, v 51, p 10161028 (5, 6, T)

177.  Ohap R. F., Stubberud A. R. A Technique for Estimating the State of a Nonlinear System IEEE Trans Autom Control, 1965, v AC-10, N 2, p 150155 (9 4, T)

178.  Omura J. K. Signal Optimization for Additive Noise Channels with Feedback, presented at WESCON, August, 1966, session 7, The Application of State variable Techniques to Communication and Radar Problems (7, , T)

179.  Oppenheim A. V., Schafer R. W., Stockham T. G. Jr Nonlinear Filtering of Multiplied and Convolved Signals Proc IEEE, 1968, v 56, N 8, p 1264 1291 (9 4, T)

180.  Papoulis A. Probability, Random Variables and Stochastic Processes, McGraw-Hill Book Company, New York, 1965 (2, 3,4 2, 4 3, T)

181.  Parzen E. Modern Probability Theory and Its Applications, John Wiley & Sons, Inc, New-York, 1960 (2 3,4 2, T).

182.  Parzen E. Stochastic Processes, Holden-Day, Inc, Publisher, San-Fran- cisco, 1962 (2,3,4 2,4 3, T)

183.  Pearson J. B. On Nonlinear Least-squares FilteringAutomatica, 1967, v 4, p 97105 (9 3, T)

184.  Pentecost E. E., Stubberud A. R. Synthesis of Computationally Efficient Sequential Linear Estimators IEEE Trans Aerospace Electron Systems, 1967, v AES-3, N 2, p 242249 (7, T)

185.  Peterson W. W., Birdsall T. G., Fox W. C. The Theory of Signal Detectabilitv IRE Trans Inform Theory, 1954, v PGIT-4, p 171 (5, T)

186.  Pickholtz R. L., Boorstyn R. R. A Recursive Approach to Signal Detection IEEE Trans Inform Theory, 1968, v IT-14, N 3, p 445450 (5 7,T)

187.  Potter J. E., Fraser D. C. A Formula for Updating the Determinant of the Covariance Matrix AIAA J, 1967, v 5, N 7, p 13521354 (7.T).

188.  . . , , 1960

189.  Raiffa H., Schlaifer R. Applied Statistical Decision Theory, Graduate School of Business Administration, Harvard University, Boston, 1961 (5, 6, T)

190.  Rao C. R. Information Accuracy Attainable in the Estimation of Statistical Parameters Bull Calcutta Math Soc, 1945, v 37, p. 8191 (6 4, T).

191.  Rao C. R. Linear Statistical Inference and Applications Johns Wiley & Sons Inc, New-York, 1965 ( , T)

. . . . . . . . . . , , 1968

192.  Rauch H. E. Solutions to the Linear Smoothing Problem IEEE Trans Autom Control, 1963, v AC 8, N 4, p 371372 (8 3, T)

193.  Rauch H. E. Optimum Estimation of Satellite Trajectories Including Random Fluctuations in Drag AIAA J, 1965, v 3, N 4, p 717722 (7, ).

194.  Rauch H. E. Least Squares Estimation with a Large Number of Parameters Proc Joint Autom Control Conf, 1967, p 2412487 (8 5,11)

195.  Rauch. H. E., Tung F., Striebel C. T. Maximum Likelihood Estimates of Linear Dynamic Systems AIAA J, 1965, v 3, N 8, p 14451450 (7, 8 3)

196.  Rice S. O. Mathematical Analysis of Random Noise Bell System Tech J, 1944, v 23, p 282332 (2,3,4 2, T)

197.  Richman J., Friedland B. Design of Optimum Mixer-Filter for Aircraft Navigation Systems, Natl Aerospace Electron Conf Proc, May 1967, p 429-438, Dayton, Ohio (7, )

198.  Riddle A. C., Anderson B. D. O. Spectral Factorization Computational Aspects IEEE Trans Autom Control, 1966, v AC-11, N 4, p 764765 (7 4,T).

199.  Roberts A. P. Optimal Linear Filtering and Lagging Filtering of Coloured Noise Intern J Control, 1968, v 8, N 4, p 401416 (8 3, T)

200.  Rose R. E., Lance G. M. Analysis of the Behavior of Continuous Parameter Estimation Methods Proc Joint Autom Control Conf, June 1968, p 109 115, Ann Arbor, Mich (7, T)

201.  Rosenblatt M. Random Processes Oxford University Press, New-York, 1962 (2, 3, 4 2, 4 3, , T)

202.  Sage A. P. Optimum Systems Control Prentice-Hall, Inc, Englewood Cliffs, New-York, 1968 (7,8,9, , T)

203.  Sage A. P. Quasilinear Techniques for Filtering in Discrete Nonlinear Systems Proc Third Ann Princeton Conf Inform Sci Systems, March 1969, p 452456 (9 4, T)

204.  Sage A. P. Maximum Aposteriori Filtering and Smoothing Algorithms Intern J Control, 1970, v 11, N 3 (9 3,9 5, T)

205.  Sage A. P., Ewing W. S. Approximate Solution Algorithms for Nonlinear Filter Problems Proc Second Ann Princeton Conf Inform Sci Systems, March 1968, p 323327 (9 4, T)

206.  Sage A. P., Ewing W. S On Smoothing Algorithms for Nonlinear State and Parameter Estimation Proc Second Hawaii Intern Conf System Sci, Jun 1969, p 373376 (9 5, T)

207.  Sage A. P., Ewing W. S. On Filtering and Smoothing Algorithms Nonlinear State Estimation Intern J Control, 1970, v 11, N 1, p 1 18 (9 5, T)

208.  Sage A. P., Husa G. W. Adaptive Filtering with Unknown Prior Statistics, Proc 1969 (8, 4, T)

209.  Sage A. P., McLendon J. R. Discrete Sequential Detection and Likelihood Ratio Computation for Non Gaussian Signals in Gaussian Noise, Proc Symp Inform Processing, Apr 1969, p 589598, Purdue University, Lafayette, Ind (5, T)

210.  Sage A. P., Masters G. W. On-line Estimation of States and Parameters for Discrete Nonlinear Dynamic Systems Proc Natl Electron Conf, 1966, î 677682 (9 3, T)

211.  Sage A. P, Masters G. W. Identification and Modeling of States and Parameters of Nuclear Reactor Systems IEEE Trans Nuclear Systems 1967, v NS-14, N 1, p 279285 (9 3, T)

212.  Sage A. P., Masters G. W. Least Squares Curve Fitting and Discrete Optimal Filtering IEEE Trans Educ, 1967, v. E-10, N 1, p 2936 (7, T).

213.  Sage A. P., Melsa J. 1. System Identification. Academic Press Inc., New-York, 1970 (9, , T).

. .: . ., . JI. . . . . . . . ., , 1974.

214.  Sain M.K. On the Control Applications of a Determinant Equality Related to Eigenvalue Computation. IEEE Trans. Autom Control, 1966, v. AC-11, N 1. p. 109111 (7. 4, T).

215.  Sakrison D. The Use of Stochastic Approximation to Solve the System Identification Problem. IEEE Trans. Autom. Control, 1967, v. AC-12, N 5, p. 563567 ( , T).

216.  Sakrison D. Communication Theory: Transmission of Wave Forms and Digital Information. John Wiley & Sons, Inc., New-York, -1968 (2, 3, 4.2, , T).

217.  Saridis G. N. Learning Applied to Successive Aproximation Algorithms,- Proc. Joint Autom. Control Conf., June 1968, p. 10071013, Ann Arbor, Mich. ( , T).

218.  Saridis G. N., Stein G. Stochastic Approximation Algorithms for Linear Discrete Time System Identification. IEEE Trans. Autom. Control, 1968, v. AC-13, N 5, p. 515-523 (9,T).

219.  Sarma V. V. S., Deekshatulu B. L. Optimal Control When Some of the State Variables Are Not Measurable. Intern. J. Control, 1968, v. 7, N 3 (7, ).

220.  Sawaragi Y., Sunahara Y., Nakamizo T. Statistical Decision Theory in Adaptive Control Systems. Academic Press. Inc., New-York, 1967 (5, T).

221.  Shlee F. H., Standish C. J., Toda N. F. Divergence in the Kalman Filter. AIAA J., 1967, v. 5, N 6, p. 11141120 (8.5,T).

222.  Schmidt S. F. et al. Case Study of Kalman Filtering in the C-5 Aircraft Navigation System. Case Studies in System Control, sponsored by IEEE Group on Autom. Control, 1968, Joint Autom. Control Conf., Ann Arbor, Mich., 1968 (7,8, T).

223.  Schultz D. G., Melsa J. L. State Functions and Linear Control Systems, McGraw-Hill Book Company, New-York, 1967 ( , T).

224.  Schwartz L., Bass R. W. Extensions to Optimal Multi-channel Nonlinear Filtering, Hughes Aircraft Co., Space Systems Div., Rept. SSD 60220R, Feb. 21, 1966 (9. 2, T).

225.  Schwartz L., Stear E. B. A Valid Mathematical Model for Approximate Nonlinear Minimalvariance Filtering. J. Math. Anal. Appl., January 1968, v. 21, p. 16 (9 2, T).

226.  Schwartz L., Stear E. B. A Computational Comparison of Several Nonlinear Filters. IEEE Trans. Autom. Control, 1968, v. 13, N 1 (9.4,T).

227.  Schwartz M. Abstract Vector Spaces Applied to Problems in Detection and Estimation Theory. IEEE Trans. Inform. Theory, 1966, v. IT-12, N 3, p. 327336 (5, T).

228.  Schwartz M., Bennett W. R., Stein S. Communication Systems and Techniques, McGraw-Hill Book Company, ,New-York, 1966 ( , , T).

229.  Schweppe F. Ñ. Optimizataion of Signals, M. I. T. Group Rept. 19644, Jan. 16, 1964 ( , T).

230.  Schweppe F. Ñ. Evaluation of Likelihood Functions for Gaussian Signals.IEEE Trans. Inform. Theory, 1965, v. IT-11, N 1, p. 6170 (5.7, T).

231.  Schweppe F. C. Radar Frequency Modulations for Accelerating Targets under a Band-width Constraint. IEEE Trans. Mil. Electron., 1965, v. MIL-9, N 1, p. 2532 ( , ).

232.  Schweppe F. Ñ. Recursive State Estimation Unknown but Bounded Erroes and System Inputs. IEEE Trans. Autom. Control, 1968, v. AC-13, N 1, p. 22-28 (7, ).

233.  Schweppe F. C. Sensor-array Data Processing for Multiple-signal Sources.IEEE Trans. Inform. Theory, 1968, v. IT-14, N 2, p. 294305 (5, ).

234.  Schweppe F. C., Gray D. L. Radar Signal Design Subject to Simultaneous Peak and Average Power Constraints. IEEE Trans. Inform. Theory, 1966, v. IT-12, N 1, p. 1326 ( , T).

235.  Seidman L. P. An Upper Bound on Average Estimation on Error in Nonlinear Systems. IEEE Trans. Inform. Theory, 1968, v. IT-14, N 2, p. 243249 (9, T).

236.  Selin L The Sequential Estimation and Detection of Signals in Normal Noise, I. Inform. Control, 1964, v. 7, p. 512534 (5,T).

237.  Selin I. The Sequential Estimation and Detection of Signals in Normal Noise, 1. Inform. Control, 1965, v. 8, p. 135 (5, T).

238.  Selin I. Detection Theory. Princeton University Press, Princeton, New-Jersey, 1965 (5,T).

239.  Sherman S. Non-mean-square Error Criteria.- IRE Trans. Inform. Theory, 1958, v. IT-4, N 3, p. 125126 (6.2,T).

240.  Sims C. S., Melsa J. L. Specific Optimal Estimation.IEEE Trans. Autom. Control, 1969, v. AC-14, N 2, p. 183186 (7.3,T). .

241.  . . no . - -, 1961.

242.  Smith G. L. On the Theory and Methods of Statistical Inference, NASA Tech. Rept. NASA TR R-251, April, 1967 (6.7,T).

243.  Smith G. L. Sequential Estimation of Observation Error Variances in a Trajectory Estimation Problem. I J., 1967, v. 5, N 11, p. 19641970 (8. 4, T).

244.  Smith G. L., Schmidt S. F., McGree L. A. Application of Statistical Filter Theory to the Optimal Estimation of Position and Velocity on Board a Circumlnar Vehicle. NASA Tech. Rept. NASA-TR R-135, 1962 (7, 8, ).

245.  Snyder D. L. The State variable Approach to Analog Communication Theory. IEEE Trans. Inform. Theory, 1968, v. IT-14, N 1, p. 94104 (9. 2,T).

246.  Snyder D. L. The State-Variable Approach to Continuous Estimation with Applications to Analog Communication Theory. M. I.T. Res. Monograph 51, Cambridge, Mass., 1969 (7, 9, ).

247.  . . . . . - - , 1952 (2,3,4 2, , ).

248.  Soong . . On Apriori Statistics in Minimum variance Estimation Problems. J. Basic Eng., March, 1965, p. 109112 (8.4,T).

249.  Sorenson H. W. Kalman Filtering Techniques. Advan. Control Systems, 1966, v. 3, p. 219292 (7,T).

250.  Sorenson H. W. On the Error Behavior in Linear Minimum Variance Estimation Problems. IEEE Trans. Autom. Control, 1967, v. AC-12, N 5, p. 557562 (8. 4, T).

251.  Sorenson H. W., Stubberud A. R. Recursive Filtering for Systems with Small but Non-negligible Non-linearities Intern. J. Control, 1968, v. 7, N 3, p. 271280 (9.4, T).

252.  Sorenson H. W., Stubberud A. R. Non-linear Altering by Approximation of the Aposteriori Density. Intern. J. Control, i968, v. 8, N 1, p. 3351 (9 4, T).

253.  Stear E. ., Stubberud A. R. Optimal Filtering for Gauss-Markov Noise.Intern J. Control, v. 8, N 2, p. 123130, 12641268 (8.3.T).

254.  Stein S., Jones J. J. Modern Communication Principles with Application to Digital Signaling. McGraw-Hill Book Company, New-York, 1967 ( , , T).

. .: ., . . . . . . . . ., , 1971.

255. Steinway W. J., Melsa J. L. Discrete Estimation Algorithm for Randomly Sapled Stochastic Signals. IEEE Trans. Autom. Control, 1970, v. AC-15, N 3 (8, T).

256.  Stoep D. R. V. Trajectory Shaping for the Minimization of State Variable. Estimation Errors. Proc. Joint Autom. Control Conf., 1968, June, p. 884 891, Ann Arbor, Mich. (7, ).

257.  P. . . ., , 1961 (2, 3, 4, ).

258.  P. J1. . ., . , 1966 (4.4, 9.2).

259.  Stubberud A. R. Optimal Filtering for Gauss-Markov Noise. Aerospace Rept. N. TR-0158 (3307-01)-10, December, 1967 (8.2, T).

260.  Swerling P. Note on a New Computational Data Smoothing Procedure Suggested by Minimum Mean Square Estimation. IEEE Trans. Inform. Theory 1966, v. 12, N 1, p. 912 (7,T).

261.  Thau F. E. On Optimum Filtering for a Class of Linear Distributed-parameter Systems. Proc. Joint Autom. Control Conf., June 1968, p. 610618, Ann Arbor, Mich. (7, T).

262.  Thompson J. S., Titlebaum E. L. The Design of Optimal Radar Waveforms for Clutter Rejection Using the Maximum Principle. Suppl. IEEE Trans. Aerospace Electron Systems, 1967, v. AES-3, N 6, p. 581589 ( , T).

263.  Tinkleman M., Pearson J. D. A Decomposition Approach to the Optimal Smoothing Problem. JACC Preprints, 1967, p. 646654 (8.3, T).

264.  Titlebaum E. L. Optimization Methods for Signal and Processing. Suppl. IEEE Trans. Aerospace Electron. Systems, 1967, v. AES-3, N 6, p. 543551 ( , T).

265.  Toda N. F., Schlee F. H., Obsharsky P. The Region of Kalman Filter Convergence for Several Autonomous Navigation Modes. AIAA J., 1969, v. 7, N 4, p. 622627 (8. 5, T).

266.  Tufts D. W., Shnidmal D. A. Optimum Waveforms Subject to Both Energy and Peak-value Constraints. Proc. IEEE, 1964, v. 52, N 9, p. 10021107 ( , T).

267.  Tung F. Linear Control Theory Applied to Interplanetary Guidance. IEEE Trans. Autom. Control, 1964, v. AC-9, N 1, p. 8289 (7, , ).

268.  Turin G. L. An Introduction to Matched Filters. IRE Trans. Inform Theory, June 1960, v. IT-6, p. 311329 (5,6, T).

269.  Van Trees H. L. Detection Estimation, and Modulation Theory. Part I, John Wiiey & Sons, Inc., New-York, 1968 (5, 6, 7, T).

. .: . , . . 1. . . . . . . ., , 1972.

270.  Viterbi A. J. Principles of Coherent Communication, McGraw-Hill Book Company, New-York, 1966 (5, 6, , , T).

. .: . . . . . . . . . ., , >1970.

271.  JI. ., . . . ., , 1960.

272.  Wald A. Sequential Analysis, John Wiley & Sons, Inc., New-York, 1947 (5,T).

. .: . . . . . . . . ., , 1960.

273.  Wald A. Statistical Decision Theory. John Wiley & Sons, Inc., New-York, 1949 (5, T).

. . . . . . . . . . . B .: . , , 1967.

274.  Winer N. Generalized Harmonic Analysis. Acta Math., 1930, v. 55, p. 117 (3. 4, T).

275.  Winer N. The Extrapolation, Interpolation, and Smoothing of Stationary Time Series with Engineering Applications, John Wiley & Sons, Inc., New-York, 1949 (3, 4, 7. 4, T).

276.  Wilks S. S. Mathematical Statistics. John Wiley & Sons, Inc., New-York, 1962 (2, 3, 4. 2, 5, 6, T).

. .: . . . . . . . . . ., , 1967.

277.  Wishner R. P., Tabaczynski J. A., Athans M. A Comparison of Three Nonlinear Filters. Automatica, 1969, v. 5, N 4, p. 487496 (9. 4, T).

278.  Wolowich W. A. On State Estimation of Observable Systems. Proc. Joint Autom. Control Conf., June 1968, p. 210220. Ann Arbor, Mich. (7, ).

279.  Wong E., Thomas J. B. On the Multidimensional Prediction and Filtering Problem and the Factorization of Spectral Matrices. J. Franklin Inst., 1961, v. 272, N 2, p. 8799 (7 4, T).

280.  Wong E., Zakai M. On Convergence of the Solutions of Differential Equations Involving Brownian Motion. Univ. of California Electron. Res. Lab. Rept. Rept. 655, Berkeley, Calif., January, 1965 (4.4, T).

281.  Wong E Zakai M. On the Relation between Ordinary and Stochastic Differential Equations. Intern. J. Eng. Sci., 1965, v. 3, p. 213229 (4.4,1).

282.  Wonham W. M. Some Applications of Stochastic Differential Equations to Optimal Nonlinear Filtering.J. SIAM Control, ser. , 1965, v. 2, N 3, p. 347369 (9. 2, T)

283.  Woodward P. M. Probability and Information Theory with Applications to Radar. McGraw-Hill Book Company, New-York, 1957 (2, 3,4. 2, 5, 6, T).

. .: . . . . . . . . . ., , 1955.

284.  Wozencraft J. ., Jacobs I. , Principles of Communication Engineering. John Wiley & Sons, Inc., New-York, 1965 (2,3,4.2, , T).

. .: . ., . . . . . . . . . ., , 1969.

285.  Youla D. . On the Factorization of Rational Matrices. IEEE Trans. Inform. Theory, J96I, v. IT-7, N 3, p. 172189 (5. 6, T).

286.  Zadeh L. A., Desoer C. A. Linear System Theory: The State Space Approach. McGraw-Hill Book Company, New-York, 1963 ( , T).

. .: ., . . . . . , . . ., , 1970.

287.  Zadeh L. A., Ragazzini J. R. An Extension of Wiener's Theory of Prediction.J. Appl. Phys. Applied Physics, July 1950, v. 21, p. 645655 (7.4, T).

288.  Zadeh L. A., Ragazzini J. R. Optimum Filters for the Detection of Signals in Noise. Proc. IRE, 1952, v. 40, p. 12231231 (5, 6, T).

289*. . ., . ., . ., . . . ., , 1968.

290*. . ., . . . ., , . 1, 1971; . 2, 1973.

291*. . . . . 2-. ., , 1974.

292*. . . . . 2-. , , . , 1974; . , 1975

293*. . . . ., , 1966.

294*. . ., . . . ., , 1974.

295* . ., . 3. . ., , 1972.

296*. . . . ., , 1970.

297*. . . . ., , 1968.

298* - 3. . ., , 1970.

299. Kailath . A. View of Three Decades of Linear Filtering Theory.IEEE Trans, 1974, v. IT-20, N 2.

300*. . л, 1970, 5, . . . . . . ., , 1970.

 

 



<<