Digital Signal Processing: An Introduction with MATLAB and Applications

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Springer Science & Business Media, Feb 17, 2011 - Technology & Engineering - 350 pages
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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.
 

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Contents

Part II Applied Signal Processing
128
Part III Advanced Topics
184
Tutorials
229
Miscellaneous Exercises
291
Tables and Formulas
303
DSP Lab Experiments
319
Authors Biographies
349
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