Discrete Time Signal Processing (3rd Edition)

Discrete-Time Signal Processing (Third Edition) By Alan V. Oppenheim and Ronald W. Schafer

For senior/graduate-level courses in Discrete-Time Signal Processing, this is the definitive, authoritative text on DSP — ideal for those with introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier analysis. By focusing on the general and universal concepts in discrete-time signal processing rather than narrow, application-specific techniques, it remains vital and relevant to the new challenges that continue to arise in the field, as signal processing's role keeps expanding with the convergence of communications, computers, and signal processing across both consumer and professional domains — from cell phones and MPEG/JPEG compression to high-density data storage.

Topics commonly covered include:

• Discrete-time signals and systems

• The z-transform

• Sampling of continuous-time signals

• Transform analysis of linear time-invariant systems

• Structures for discrete-time systems

• Filter design techniques (FIR and IIR)

• The discrete Fourier transform (DFT) and Fourier analysis of signals

• Computation of the discrete Fourier transform (FFT algorithms)

• Fourier analysis of signals using the discrete Fourier transform

Key features:

• Written by two of the founding pioneers of digital signal processing

• Rigorous, theorem-based treatment of fundamental DSP theory

• Focus on universal, timeless DSP concepts rather than narrow applications

• Companion password-protected website and myeBook access included with new copies

• Long-standing status as the definitive graduate-level DSP reference text

Perfect for:

• Senior and graduate-level electrical engineering students taking a discrete-time signal processing course

• Students with an introductory signals and systems background moving into rigorous DSP theory

• Researchers and practicing engineers needing a foundational DSP reference

• Faculty teaching an advanced, theorem-driven discrete-time signal processing course

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