by B.D.O. Anderson, J.B. Moore
Publisher: Prentice-Hall 1979
Number of pages: 367
This graduate-level text augments and extends studies of signal processing, particularly in regard to communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; time-invariant filters; properties of Kalman filters; computational aspects; smoothing of discrete-time signals; and more.
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by Raghu Raj Bahadur, at al. - IMS
In this volume the author covered what should be standard topics in a course of parametric estimation: Bayes estimates, unbiased estimation, Fisher information, Cramer-Rao bounds, and the theory of maximum likelihood estimation.
by H. V. Poor, G. W. Wornell - Prentice-Hall, Inc.
A valuable reference both for signal processing specialists seeking to apply their expertise in the rapidly growing wireless communications field, and for communications specialists eager to exploit signal processing techniques.
by William A. Gardner - McGraw-Hill
A first course on random processes for graduate engineering and science students, particularly those with an interest in the analysis and design of signals and systems. The book includes detailed coverage of minimum-mean-squared-error estimation.
by E. A. Lee, P. Varaiya - Addison Wesley
An introduction to signals and systems for electrical engineering, computer engineering, and computer science students. The material motivates signals and systems through sound and images, as opposed to circuits. Calculus is the only prerequisite.