<p> Introducing the first text to integrate the topics of digital signal processing (DSP), digital image processing (DIP), and adaptive signal processing (ASP)! <b><i>Digital Signal and Image Processing</i></b> helps students develop a well-rounded understanding of these key areas by focusing on fundamental concepts, mathematical foundations, and advanced algorithms. </p> <p> The presentation is mathematically thorough with clear explanations, numerous examples, illustrations, and applications. In addition to problems, MATLAB-based computer projects are assigned at the end of each chapter, making this book ideal for laboratory-based courses. </p> <p> The text is appropriate for a stand-alone course on digital signal processing, or a course that introduces a combination of topics in signal processing and image processing. It contains sufficient background material for a fundamental course and ample advanced topics for graduate-level instruction.</p>
Chapter 2. Fourier Analysis.
Chapter 3. Z-Transform and Digital Filters.
Chapter 4. Filter Design and Implementation.
Chapter 5. Multivariate Signal Processing.
Chapter 6. Finite-Wordlength Effects.
Chapter 7. Adaptive Signal Processing.
Chapter 8. Least-Squares Adaptive Algorithms.
Chapter 9. Linear Prediction.
Chapter 10. Image Processing Fundamentals.
Chapter 11. Image Compression and Coding.
Appendix. Concepts of Linear Algebra.
Audience: Tertiary; University or College
Number Of Pages: 656
Published: 29th October 2003
Country of Publication: US
Dimensions (cm): 24.2 x 19.6 x 2.69
Edition Number: 1