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Conceptual Digital Signal Processing with MATLAB

Title
Conceptual Digital Signal Processing with MATLAB [electronic resource] / by Keonwook Kim.
ISBN
9789811525841
Edition
1st ed. 2021.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2021.
Physical Description
1 online resource (XIII, 677 p.) 107 illus., 42 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 21, 2021
Series
Signals and Communication Technology,
Signals and Communication Technology,
Contents
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.
Also listed under
SpringerLink (Online service)
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