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Conceptual Digital Signal Processing with MATLAB

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Conceptual Digital Signal Processing with MATLABНазвание: Conceptual Digital Signal Processing with MATLAB
Автор: Keonwook Kim
Издательство: Springer
Год: 2021
Страниц: 684
Язык: английский
Формат: pdf (true), epub
Размер: 39.9 MB, 82.2 MB

Motivates students with a top-to-bottom structure that allows them to pretend to be the first digital filter designer and discover all requirements. Extensively uses MATLAB, so that students can solve the mathematics by using the symbolic math toolbox and implement the algorithm via applying the extensive toolboxes.

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.

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.

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