Linear sequential coding of random space-time fields

[1]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[2]  S. Chang.  Optimum transmission of continuous signal over a sampled data link , 1961, Transactions of the American Institute of Electrical Engineers, Part II: Applications and Industry.

[3]  W. M. Brown.  Optimum prefiltering of sampled data (Corresp.) , 1961, IRE Trans. Inf. Theory.

[4]  Joseph Smagorinsky,et al.  Numerical weather analysis and prediction , 1962 .

[5]  David Middleton,et al.  Sampling and Reconstruction of Wave-Number-Limited Functions in N-Dimensional Euclidean Spaces , 1962, Inf. Control..

[6]  D. Middleton,et al.  A Note on Optimum Pre-Sampling Filters , 1963 .

[7]  S.S.L. Chang,et al.  Jointly optimum realizable linear pre- and postfilters for systems with samplers , 1965 .

[8]  D. G. Watts,et al.  Spectral analysis and its applications , 1968 .

[9]  Daniel P. Petersen,et al.  On the concept and implementation of sequential analysis for linear random fields , 1968 .

[10]  J. Lions,et al.  Contrôle optimal de systèmes gouvernés par des équations aux dérivées partielles , 1968 .

[11]  S. Singer.  Book Review: Useful applications of earth-oriented satellites. Summaries of Panel Reports, Two Volumes, National Academy of Sciences— National Research Council, Washington, D.C., 1969 , 1969 .

[12]  William L. Smith,et al.  A REGRESSION METHOD FOR OBTAINING REAL-TIME TEMPERATURE AND GEOPOTENTIAL HEIGHT PROFILES FROM SATELLITE SPECTROMETER MEASUREMENTS AND ITS APPLICATION TO NIMBUS 3 “SIRS” OBSERVATIONS , 1970 .

[13]  Daniel P. Petersen.  Reexamination of the prefiltering problem in a state-variable formulation (Corresp.) , 1970, IEEE Trans. Inf. Theory.

[14]  Christopher M. Hayden.  Experiments in the Four-Dimensional Assimilation of Nimbus 4 SIRS Data. , 1973 .

[15]  Daniel P. Petersen.  A proof of the separability of prefiltering and coding (Corresp.) , 1975, IEEE Trans. Inf. Theory.