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Digital Signal Processing

An Introduction with MATLAB and Applications

Language EnglishEnglish
Book Hardback
Book Digital Signal Processing Zahir M. Hussain
Libristo code: 02775699
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, February 2011
In three parts, this book contributes to the advancement of engineering education and that serves as... Full description
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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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About the book

Full name Digital Signal Processing
Author Zahir M. Hussain, Amin Z. Sadik, Peter O'Shea
Language English
Binding Book - Hardback
Date of issue 2011
Number of pages 350
EAN 9783642155901
ISBN 3642155901
Libristo code 02775699
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 694
Dimensions 164 x 241 x 26

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Electronics: circuits & components
Technology, Engineering, Agriculture > Other technologies & applied sciences > Applied optics > Imaging systems & technology
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Computing & Information Technology > Computer science > Signal processing
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