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This comprehensive textbook provides a thorough introduction to digital signal processing (DSP), covering fundamental concepts, algorithms, and applications. It explores topics such as discrete-time signals and systems, Fourier analysis, z-transforms, filtering, and applications in communication systems, audio processing, and image processing. The 3rd edition features updated content, new examples, and MATLAB-based exercises, making it a valuable resource for students and professionals in DSP. Presents the fundamentals of discrete-time signals, systems, and modern digital processing algorithms and applications for students in electrical engineering, computer engineering, and computer science. Textbook.
Digital Signal Processing Principles Algorithms and Applications 3rd Edition by Proakis and Manolakis
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