Digital Signal Processing
By Weeks M

Key Features Covers modern applications such as edge detection, audio, and image compression Includes a new chapter on the continuous wavelet transform Includes a separate chapter on MATLAB programming (Chapter 2) Designed for the reader who does not have extensive math and programming experience Companion CD-ROM has MATLAB projects for each chapter with over 100 MATLAB examples, source code (.m files), and figures from the book Instructors resources include a CD-ROM with solutions, all the code (.m-files), figures from the book, and over 360 Microsoft PowerPoint slides About the Book: Digital Signal Processing Using MATLAB and Wavelets Designed for upper division engineering and computer sciencestudents as well as practicing engineers and scientists, this bookemphasizes the practical applications of signal processing. Over100 MATLAB examples and wavelet techniques provide the latestapplications of DSP, including image processing, games, filters,transforms, networking, parallel processing, and sound. This Second Edition also provides the mathematical processes andtechniques needed to ensure an understanding of DSP theory.Designed to be incremental in difficulty, the book will benefitreaders who are unfamiliar with complex mathematical topics orthose limited in programming experience. Beginning with anintroduction to MATLAB programming, it moves through filters,sinusoids, sampling, the Fourier transform, the z-transform andother key topics. Two chapters are dedicated to the discussion ofwavelets and their applications. A CD-ROM (platform independent)accompanies every new printed copy of the book and contains sourcecode, projects for each chapter, and the figures from the book. Contents Chapter 1: Introduction Chapter 2: MATLAB Chapter 3: Filters Chapter 4: Sinusoids Chapter 5: Sampling Chapter 6: The Fourier Transform Chapter 7: The z-Transform Chapter 8: The Discrete Wavelet Transform Chapter 9: The Continuous Wavelet Transform Chapter 10: Applications Glossary