£205.00

Jones & Bartlett Learning Digital Signal Processing Using MATLAB & Wavelets Added for Testing Purpose

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£282.00 £156.59 £183.95 £211.31 £238.68 £266.04 £293.40 09 October 2024 31 January 2025 26 May 2025 18 September 2025 11 January 2026

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101 days 169 days · current 166 days 8 days 16 days 0 42 85 127 169 £168 £205 £212 £213 £282 Days at Price

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Description

Although Digital Signal Processing (DSP) has long been considered an electrical engineering topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles. Designed for upper division engineering and computer science students as well as practicing engineers and scientists, Digital Signal Processing Using MATLAB amp Wavelets, Second Edition emphasizes the practical applications of signal processing. Over MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. This Second Edition also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to MATLAB programming, it moves through filters, sinusoids, sampling, the Fourier transform, the z-transform and other key topics. Two chapters are dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies every new printed copy of the book and contains source code, projects for each chapter, and the figures from the book.(eBook version does not include the CD-ROM)

Key Features

Used Book in Good Condition

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 March 2010
Listed Since
13 October 2009

Barcode

No barcode data available

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