Mathematical Aspects of Signal Processing
Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal processing. All the core areas of mathematics are covered, including generalized inverses, singular value decomposition, function representation, and optimization, with detailed explanations of how basic concepts in these areas underpin the methods used to perform signal processing tasks. A particular emphasis is placed on the practical applications of signal processing, with numerous in-text practice questions and real-world examples illustrating key concepts, and MATLAB programs with accompanying graphical representations providing all the necessary computational background. This is an ideal text for graduate students taking courses in signal processing and mathematical methods, or those who want to establish a firm foundation in these areas before progressing to more advanced study.
- Emphasizes the relationship between mathematical theory and practical applications in signal processing
- Accompanied by numerous in-text practice questions and real-world examples to illustrate key concepts
- Covers the computational aspects of signal processing, with the inclusion of MATLAB programs and graphical representations of simulation results
Product details
December 2016Hardback
9781107175174
252 pages
248 × 186 × 17 mm
0.55kg
Available
Table of Contents
- Acknowledgements
- Foreword
- List of tables
- List of figures
- 1. Paradigm of signal processing
- 2. Function representation
- 3. Generalized inverse
- 4. Modal decomposition
- 5. Optimization
- Solutions to problems
- Index.