The Scientist and Engineer's Guide to Digital Signal Processing
by Steven W. Smith
Publisher: California technical Publishing 1999
Number of pages: 650
Digital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century. The book presents the fundamentals of DSP using examples from common science and engineering problems.
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by J. H. Karl - Academic Press
The book comprises a one-semester or self-study course, filling the gap between several oversimplified introductions and more topically specialized or formal treatments. Karl's book wins notable points for its easy reading style.
by Carl W. Helstrom - Prentice Hall
This is an introduction to signal-detection theory, a subject fundamental to the design of detectors of weak signals in the presence of random noise, and to the design of optimal receivers of communication, radar, sonar and optical signals.
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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.
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These notes were written for a graduate course on random processes. Students are assumed to have had a previous course in probability, some familiarity with real analysis and linear algebra, and some familiarity with complex analysis.