✍ Scribed by Ingle V.K., Proakis J.G.
No coin nor oath required. For personal study only.
;Digital Signal Processing using MATLAB and Wavelets НАУКА и УЧЕБА,ТЕХНИКА Название: Digital Signal Processing Using MATLAB Автор: Ingle V.K., Proakis J.G. Издательство: PWS Год: 1997 Страниц: 336 Формат: djvu Размер: 8.0 Mb Язык: английский Аннотация.This book does exactly what it purports to do - it teaches the reader how to perform signal processing tasks using Matlab. It starts out with signals and systems and moves on to the DTFT, the Z Transform, the DFT, digital filter structures including both IIR and FIR design, and finally covers some advanced topics in adaptive signal processing and communications. It even contains full-blown projects using Matlab on adaptive channel equalization, binary spread spectrum communications, and system identification. The reader should use another text such as Oppenheim's "Discrete Time Signal Processing" to get the theory, and come to this book on how to implement that theory in Matlab. The one drawback is that the book is older, so it is using Matlab 4. Uploading.com 0
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text is not incredibly thourough or rigorous. Introduces some concepts like FFT without explaining them fully, leaving that for later sections. If buying for a class you've not much choice, if buying for reference or personal study I'd look elsewhere.
This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are pro
This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are pro
In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemente
Help your students focus on the development, implementation, and application of modern DSP techniques with DIGITAL SIGNAL PROCESSING USING MATLAB, 3E. Written using an engaging, informal style, this book inspires students to become actively involved in each topic discussed. Each chapter starts with