
Digital Signal Processing
Type de document : PDF
Description : Livre en Anglais sur les techniques de traitement du signal numérique
Auteurs : K. Deergha Rao, M. N. S. Swamy
Année : 2019
Catégorie scientifique : Technologie & Ingénierie
Niveau : Master 1
Résumé : Digital signal processing (DSP) is now a core subject in electronics, communications, and computer engineering curricula. The motivation in writing this book is to include modern topics of increasing importance not included in the textbooks available on the subject of digital signal processing and also to provide a comprehensive exposition of all aspects of digital signal processing. The text is integrated with MATLAB-based programs to enhance the understanding of the underlying theories of the subject. This book is written at a level suitable for undergraduate and master students as well as for self-study by researchers, practicing engineers, and scientists. Depending on the chapters chosen, this text can be used for teaching a one- or two-semester course, for example, introduction to digital signal processing, multirate digital signal processing, multirate and wavelet signal processing, digital filters design and implementation. In this book, many illustrative examples are included in each chapter for easy understanding of the DSP concepts. An attractive feature of this book is the inclusion of MATLAB-based examples with codes to encourage readers to implement on their personal computers to become confident of the fundamentals and to gain more insight into digital signal processing. In addition to the problems that require analytical solutions, problems that require solutions using MATLAB are introduced to the reader at the end of each chapter. Another attractive feature of this book is that many real-life signal processing design problems are introduced to the reader by the use of MATLAB and programmable DSP processors. This book also introduces three chapters of growing interest not normally found in an upper division text on digital signal processing. In less than 20 years, wavelets have emerged as a powerful mathematical tool for signal and image processing. In this textbook, we have introduced a chapter on wavelets, wherein we have tried to make it easy for readers to understand the wavelets from basics to applications. Another chapter is introduced on adaptive digital filters used in the signal processing problems for faster and acceptable results in the presence of changing environments and changing system requirements. The last chapter included in this book is on DSP processors, which is a growing topic of interest in digital signal processing.