Introduction to Signal Processing
by Sophocles J. Orfanidis
Publisher: Prentice Hall 2009
Number of pages: 398
Provides an applications-oriented introduction to digital signal processing. Orfandis covers all the basic DSP concepts and methods, such as sampling, discrete-time systems, DFT/FFT algorithms, and filter design. The book emphasizes the algorithmic, computational, and programming aspects of DSP, and includes a large number of worked examples, applications, and computer examples.
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This book takes a look at both theoretical foundations and practical implementations of Bayesian inference. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics.
by Sebastian Miron - InTech
The exponential development of computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications. This book provides highlights of the current research in the area.
by Jeff Fessler - University of Michigan
Course objectives: 1. to teach students the concepts of discrete-time signals, including mathematical representations; 2. to teach students the concepts of linear time-invariant discrete-time systems; 3. to introduce the concepts of filter design.
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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.