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Understanding Digital Signal Processing (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R2,429
Discovery Miles 24 290
Understanding Digital Signal Processing (Paperback, Softcover reprint of the original 1st ed. 2018): Orhangazi

Understanding Digital Signal Processing (Paperback, Softcover reprint of the original 1st ed. 2018)

Orhangazi

Series: Springer Topics in Signal Processing, 13

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Loot Price R2,429 Discovery Miles 24 290 | Repayment Terms: R228 pm x 12*

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This book explains digital signal processing topics in detail, with a particular focus on ease of understanding. Accordingly, it includes a wealth of examples to aid in comprehension, and stresses simplicity. The book is divided into four chapters, which respectively address the topics sampling of continuous time signals; multirate signal processing; the discrete Fourier transform; and filter design concepts. It provides original practical techniques to draw the spectrum of aliased signals, together with well-designed numerical examples to illustrate the operation of the fast transforms, filter algorithms, and circuit designs. Readers of this book should already have some basic understanding of signals and transforms. They will learn fundamental concepts for signals and systems, as the focus is more on digital signal processing concepts rather than continuous time signal processing topics.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Springer Topics in Signal Processing, 13
Release date: December 2018
First published: 2018
Authors: Orhangazi
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 303
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-981-13-5277-5
Categories: Books > Science & Mathematics > Science: general issues > Scientific standards
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 981-13-5277-1
Barcode: 9789811352775

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