Verified signal processing algorithms in Matlab and C / Arie Dickman ; advised by Israel Greiss.
2022
TK5102.9
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Details
Title
Verified signal processing algorithms in Matlab and C / Arie Dickman ; advised by Israel Greiss.
Author
Dickman, Arie, author.
ISBN
9783030933630 (electronic bk.)
3030933636 (electronic bk.)
9783030933623 (print)
3030933628
3030933636 (electronic bk.)
9783030933623 (print)
3030933628
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (xiv, 217 pages) : illustrations (some color)
Other Standard Identifiers
10.1007/978-3-030-93363-0 doi
Call Number
TK5102.9
Dewey Decimal Classification
621.382/2
Summary
This book is written for engineers who need to develop algorithms used for signal processing and/or implement algorithms using the C programming language or Matlab. The book features a rich collection of recipes for applied signal processing such as FIR, IIR, FFT, correlation, complex FIR, adaptive filters and others. The book applies to those who want to implement in the shortest time to market working systems that are built from a collection of building blocks implemented in an FPGA firmware or C language software, running on an SBC or DSP. Structured as an instantly applicable guide, the author covers a wide collection of required solutions to common encountered problems with a software guide. All Codes in the book are verified and processing times for all C codes are specified, enabling the reader to estimate processing time on his own target, by comparing it to the I5 2.9 GHz CPU used here.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 7, 2022).
Available in Other Form
Print version: 9783030933623
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Table of Contents
1-Overview of signal detection
2-Measures for verification and implementation of algorithms
3-Narrow band & wide band processing basics
4-Complex Finite Impulse Response filters
5-Infinite Impulse Response filters
6-Non linear and batch filters
7-Interpolators
8-Direct digital synthesis
9-Inverse Fast Fourier Transform
10-Hilbert transform
11-Channelizer
12-Correlation
13-Adaptive filters
14-Unequally spaced sampling
15-Encountered problems in Signal Processing & solutions.
2-Measures for verification and implementation of algorithms
3-Narrow band & wide band processing basics
4-Complex Finite Impulse Response filters
5-Infinite Impulse Response filters
6-Non linear and batch filters
7-Interpolators
8-Direct digital synthesis
9-Inverse Fast Fourier Transform
10-Hilbert transform
11-Channelizer
12-Correlation
13-Adaptive filters
14-Unequally spaced sampling
15-Encountered problems in Signal Processing & solutions.