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Conceptual digital signal processing with MATLAB

By: Kim, Keonwook.
Series: Signals and communication technology 1860-4862.Publisher: Singapore : Springer, 2021Description: xiii, 677 p. ; ill., (some color), 25 cm.ISBN: 9789811525834.Subject(s): Digital filters | Band Pass Filter | Convolution sum | DFT method | Euler formula | Frequency response | Impulse response | LPF design method selection | MATLAB order | Passband frequency | Parseval's theorem | Ramp function | Sinc function | Transfer function | Z-transformDDC classification: 621.3822 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.
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Books 621.3822 KIM (Browse shelf) Available 034091

Includes index.https://opac.daiict.ac.in:8443/cgi-bin/koha/cataloguing/addbiblio.pl?biblionumber=32406%20|%201860-4862#

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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