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Digital Signal Processing: A MATLAB-Based Approach: Book by Vinak K. Ingle

Digital Signal Processing: A MATLAB-Based Approach

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ISBN: 9788131509050    Publisher: CENGAGE PUBLICATION Year of publishing: 2010     Format:  Paperback Language: English
This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB in the study of DSP concepts. In this book, MATLAB is used as a computing tool to explore...Read more
This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB in the study of DSP concepts. In this book, 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 implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored..

Key Features

Proves, and not just states, most of the presented statements.

Teaches and applies MATLAB to make it possible for students to explore more complex DSP problems than are normally taught in undergraduate-level courses

Provides MATLAB functions and scripts, enabling students to modify problem values and parameters, and study scripts to gain insight into MATLAB procedures

Last two chapters cover applications in DSP with an emphasis on MATLAB-based projects in adaptive filtering, and digital communications

Treats the analysis and design of filters and spectrum analyzers in great detail

This book is an excellent MATLAB supplement to any traditional DSP text
Table Of Contents

1. Introduction

2. Discrete-time Signals and Systems

3. The Discrete-time Fourier Analysis

4. The z-Transform

5. The Discrete Fourier Transform

6. Digital Filter Structures

7. FIR Filter Design

8. IIR Filter Design

9. Finite Word-Length Effects

10. Sampling Rate Conversion

11. Applications in Adaptive Filtering

12. Applications in Communications
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