Book description
This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.
Table of contents
- Cover Page
- Title Page
- Copyright
- Table of Contents
- Preface: Why and How this Book was Written
- Chapter 1: Introduction
- Chapter 2: Discrete-Time Signals
- Chapter 3: Discrete-Time Random Signals
- Chapter 4: Statistical Tests and High Order Moments
- Chapter 5: Discrete Fourier Transform of Discrete-Time Signals
- Chapter 6: Linear and Invariant Discrete-Time Systems
- Chapter 7: Infinite Impulse Response Filters
- Chapter 8: Finite Impulse Response Filters
- Chapter 9: Detection and Estimation
- Chapter 10: Power Spectral Density Estimation
- Chapter 11: Time-Frequency Analysis
- Chapter 12: Parametrical Time-Frequency Methods
- Chapter 13: Supervised Statistical Classification
- Chapter 14: Data Compression
- References
- Index
Product information
- Title: Digital Signal Processing Using Matlab
- Author(s):
- Release date: April 2008
- Publisher(s): Wiley
- ISBN: 9781848210110
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