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Conceptual Digital Signal Processing with MATLAB [electronic resource] / by Keonwook Kim.

By: Kim, Keonwook [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XIII, 677 p. 107 illus., 42 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811525841.Subject(s): Signal processing | Electronic circuits | Telecommunication | Signal, Speech and Image Processing | Electronic Circuits and Systems | Communications Engineering, NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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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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.

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