Digital Signal Processing: Principles, Algorithms and Applications (3rd Edition) 3rd Edition by John G. Proakis (Author), Dimitris G. Manolakis (Author)

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. DLC: Signal processing - Digital techniques.

FEATURES:

NEW—reorganizes coverage of DFT and FFT algorithm for greater clarity—now introduces the DFT and describes its efficient computation immediately following the treatment of Fourier analysis.

Describes the operations and techniques involved in the analog-to-digital conversion of analog signals.

Studies the characterization and analysis of linear time-invariant discrete-time systems and discrete- time signals in the time domain.

Considers both the bilateral and the unilateral z-transform, and describes methods for determining the inverse z-transform.

Analyzes signals and systems in the frequency domain, and presents Fourier series and Fourier transform in both continuous-time and discrete-time signals.

Treats the realization of IIR and FIR systems, including direct-form, cascade, parallel, lattice and lattice-ladder realizations.

Looks at the basics of sampling rate conversion and presents systems for implementing multirate conversion.

Offers a detailed examination of power spectrum estimation, with discussions on nonparametric and model-based methods, as well as eigen-decomposition- based methods, including MUSIC and ESPRIT.

Includes many examples throughout the book and with approximately 500 workable problems.