System Modeling and Statistical Data Processing.
Abstract
This report is a brief summary of progress made by the authors and their associates during the period 1 May 1974 through 30 April 1975 in a continuing research project concerned with statistical signal processing. The several research tasks described include (1) scattering theory and least-square estimation, (2) applications of orthogonal polynomials, (3) time-invariant causal implementations of Gaussian signal detectors, (4) fast algorithms for arbitrary processes, (5) square-root algorithms for estimation, (6) extended transfer functions and systems matrices, (7) fast algorithms in speech processing, (8( minimal realization problems, (9) nearest neighbor pattern recognition, (1) Kolmogorov complexity, (11) compound sequential Bayes predictors for sequences with an empirical Markov structure, (12) optimal finite memory learning algorithms for the finite sample problem, (13) measurement selection in the k-hypothesis testing problem, and (14) estimating the entropy of English language text. A list of publications containing the detailed research findings is provided.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1975
- Accession Number
- ADA015933
Entities
People
- Thomas Cover
- Thomas Kailath
Organizations
- Stanford University