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Digital Signal Processing: A MATLAB-Based Approach
By: Vinak K. Ingle
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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
Read less
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
Read less
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