Research and Development over the past 30 years has lead to significant advances in the field of Digital Signal Processing. A single textbook covering the basics of linear continuous-time and discrete-time systems and their applications along with MATLAB programs is the need of the day. The authors have made a sincere attempt to meet these requirements.

The authors have developed this book from their lecture notes prepared for teaching the undergraduate and postgraduate level courses over the past several years. This book is suitable as a text for two subjects Signals and Systems, and Digital Signal Processing in B.E., AMIE and Grade IETE degree courses, and for the subject Advanced Digital Signal Processing in M.E. degree courses. It will also serve as a useful reference to those preparing for competitive examinations.

The various concepts of the subject are arranged logically and explained in a simple reader-friendly language. For proper understanding of the subject, a large number of problems with their step-by-step solutions are provided for every concept. Illustrative examples are discussed to emphasizing conceptual clarity thereby presenting typical applications. A set of questions and exercises at the end of each chapter will help the readers test their understanding of the subject.

The book is divided into 15 chapters. Chapter 1 introduces classification of signals and systems. Chapter 2 is devoted to the Fourier analysis of periodic and aperiodic continuous-time signals and systems. Chapter 3 focuses on the application of Laplace transform to system analysis. Chapter 4 is concerned with the evaluation of z-transform and inverse z-transform. Chapter 5 discusses linear time invariant systems. Chapter 6 concentrates on discrete and Fast Fourier Transforms. Chapters 7 and 8 explain the theory and design of FIR and IIR filters. Chapter 9 deals with realisation of digital linear systems. Chapter 10 includes the effects of finite word length in digital filters. Chapter 11 describes multirate digital signal processing including digital filter banks. Chapter 12 covers spectral estimation. Chapter 13 contains a detailed study of adaptive filters. Chapter 14 presents the applications of digital signal processing including wavelets. Chapter 15 treats MATLAB programs.

The authors are thankful to Prof G Shanmugam, Principal, and the Management of Mepco Schlenk Engineering College for their encouragement. They wish to express gratitude to Dr V Palanisamy, Principal, Government Engineering College, Salem for writing a foreword to the book. Thanks are due to their colleagues particularly Mrs R Shantha Selva Kumari and Mr A Rajesh for their valuable suggestions, and students especially Mr R Veeramalai and Mr M Vinoth for their help in the preparation of MATLAB programs.

They are grateful to Tata McGraw-Hill Publishing Company Limited, New Delhi for getting the manuscript reviewed by experts, providing feedback and for publishing this book in time, and also to Mrs Vibha Mahajan of Tata McGraw-Hill for stimulating interest in this project. They are also thankful to Mr J Venkateshwaran for efficiently word processing the manuscript.

Finally, they would like to express earnest thanks to their life partners Mrs Kalavathy Salivahanan, Mrs Radha Vallavaraj and Mr Sampath Kumar for their moral support and constant encouragement and to their children S Santhosh Kanna and S Subadesh Kanna, V Nithish Raj, and S Gayathri Lakshmi for their enormous patience and cooperation.

Readers are welcome to give constructive suggestions for the improvement of the book.

S SALIVAHANAN
A VALLAVARAJ
C GNANAPRIYA