Digital Signal Processing: Principles, Algorithms, and Applications by John G. Proakis and Dimitris G. Manolakis (2006)

Offers a comprehensive overview of digital signal processing (DSP) theory and practice.

Covers all aspects of DSP from fundamentals to advanced topics.

Presents the basic mathematics of DSP, including complex numbers, linear algebra, probability, and random processes.

Introduces fundamentals such as discrete-time processing of continuous-time signals, the Z-transform, digital filtering, and fast Fourier transform (FFT) algorithms.

Examines adaptive signal processing, multirate signal processing, and nonlinear signal processing.

Includes applications of DSP to communications, speech, image and video processing, and medical diagnostics.

Features numerous examples and problems to illustrate methods and applications.

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