Digital Signal Processing: An Introduction with MATLAB and Applications

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In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.

Author(s): Peter O’Shea, Amin Z. Sadik, Zahir M. Hussain (auth.)
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011

Language: English
Pages: 350
Tags: Signal, Image and Speech Processing; Circuits and Systems

Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Analog Signals and Systems....Pages 3-62
Discrete and Digital Signals and Systems....Pages 63-127
Front Matter....Pages 129-129
Selected Topics in Applied Signal Processing....Pages 131-182
Front Matter....Pages 183-183
The Impact of Finite Wordlength Implementation....Pages 185-208
Multirate Digital Signal Processing....Pages 209-227
Back Matter....Pages 229-350