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Conceptual digital signal processing...

Kim, Keonwook.

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Conceptual digital signal processing with MATLAB

Record Type:	Electronic resources : Monograph/item
Title/Author:	Conceptual digital signal processing with MATLAB/ by Keonwook Kim.
Author:	Kim, Keonwook.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xiii, 677 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1 Preliminary digital filter design -- 2 Frequency and signals in discrete domain -- 3 Fourier analysis -- 4 Filters in time domain -- 5 Z-transform -- 6 Filter design -- 7 Implementation matters -- 8 Filters with Matlab -- Appendix A Matlab fundamentals.
Contained By:	Springer Nature eBook
Subject:	Signal processing - Mathematics. -
Online resource:	https://doi.org/10.1007/978-981-15-2584-1
ISBN:	9789811525841

Conceptual digital signal processing with MATLAB
Kim, Keonwook.

Conceptual digital signal processing with MATLAB[electronic resource] /by Keonwook Kim. - Singapore :Springer Singapore :2021. - xiii, 677 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

1 Preliminary digital filter design -- 2 Frequency and signals in discrete domain -- 3 Fourier analysis -- 4 Filters in time domain -- 5 Z-transform -- 6 Filter design -- 7 Implementation matters -- 8 Filters with Matlab -- Appendix A Matlab fundamentals.

This textbook provides an introduction to the study of digital signal processing, employing a top-to-bottom structure to motivate the reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB. In contrast to the conventional teaching approach, the book offers a top-down approach which first introduces students to digital filter design, provoking questions about the mathematical tools required. The following chapters provide answers to these questions, introducing signals in the discrete domain, Fourier analysis, filters in the time domain and the Z-transform. The author introduces the mathematics in a conceptual manner with figures to illustrate the physical meaning of the equations involved. Chapter six builds on these concepts and discusses advanced filter design, and chapter seven discusses matters of practical implementation. This book introduces the corresponding MATLAB functions and programs in every chapter with examples, and the final chapter introduces the actual real-time filter from MATLAB. Aimed primarily at undergraduate students in electrical and electronic engineering, this book enables the reader to implement a digital filter using MATLAB.

ISBN: 9789811525841

Standard No.: 10.1007/978-981-15-2584-1doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

579697
Signal processing
--Mathematics.

LC Class. No.: TK5102.9 / .K55 2021

Dewey Class. No.: 621.3822

Conceptual digital signal processing with MATLAB
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520 $a This textbook provides an introduction to the study of digital signal processing, employing a top-to-bottom structure to motivate the reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB. In contrast to the conventional teaching approach, the book offers a top-down approach which first introduces students to digital filter design, provoking questions about the mathematical tools required. The following chapters provide answers to these questions, introducing signals in the discrete domain, Fourier analysis, filters in the time domain and the Z-transform. The author introduces the mathematics in a conceptual manner with figures to illustrate the physical meaning of the equations involved. Chapter six builds on these concepts and discusses advanced filter design, and chapter seven discusses matters of practical implementation. This book introduces the corresponding MATLAB functions and programs in every chapter with examples, and the final chapter introduces the actual real-time filter from MATLAB. Aimed primarily at undergraduate students in electrical and electronic engineering, this book enables the reader to implement a digital filter using MATLAB.
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