Digital Signal Processing addresses the basic concepts of discrete time systems and continuous time systems, along with their applications using MATLAB. This text is suitable for students in undergraduate and postgraduate level engineering courses. This book can serve as a course text book for three courses, which are Signals & Systems, Digital Signal Processing (DSP), and Advanced DSP. It will help students develop a problem solving methodology. This text features several key topics such as Digital Filter Designing, Fourier Transforms, Z Transforms, DSP Applications, Multirate DSP, and DSP Processors. In this second edition, the authors have included a new chapter featuring Digital Signal Processors. There is also an inclusion of new topics such as Parseval’s Theorem, Convolution Theorem, Wireless Communication Applications, Kleman Filters, Wiener Filters, and Discrete Fourier Series. Digital Signal Processing is organized into 16 chapters. Some of the topics covered in the chapters are Classifying Signals/Systems, Fourier Analysis, Applying Laplace Transform, Z Transforms, Linear Time Invariant Systems, FIR Filters, IIR Filters, Multirate DSP, Spectral Estimation, Adaptive Filters, DSP Applications, and MATLAB Programs. The text concludes with two Appendices and an Index. Each chapter starts with an introduction, which provides a brief summary and background of the topic. Every single chapter is divided into sections and subsections in order to encourage a logical flow of ideas. There are more than 200 solved examples, 600 practice questions, and over 40 MATLAB examples.

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General Information  
PublisherMcGraw Hill
Publish YearJanuary 2011