Digital signal processing
Bibliographic details
Additional authors
Schafer, Ronald W.
Summary
An up-to-date and detailed introduction to the fundamentals of processing signals by digital techniques and their applications to practical problems. Coverage includes discrete-time signals and systems, z-transform, discrete Fourier transforms, flow graph and matrix representations of digital filters, digital filter design, the fast Fourier transform, discrete Hilbert transforms, discrete random signals, effects of finite register length, homomorphic signal processing, and power spectrum estimation. The authors closely integrate over 200 carefully prepared homework problems, many of which extend the fundamentals and direct the student towards practical application. The text is ideal for courses in digital signal processing at the senior or first year graduate level courses. The book assumes a background of advanced calculus, including an introduction to complex variable theory and an exposure to linear system theory for continuous line signals, including Laplace and Fourier transforms as taught in most electrical and mechanical engineering courses. Features Introduces concepts of two dimensional signal processing.Presents materials based on the author's original research.Includes thorough treatment of Tellegen's theorem, other digital network theorems, fast Fourier transform algorithms, and homomorphic processing. Contents Discrete-Time Signals and SystemsThe Z-TransformThe Discrete Fourier TransformFlow Graph and Matrix Representation of Digital FiltersDigital Filter Design TechniquesComputation of the Discrete Fourier TransformDiscrete Hilbert TransformsDiscrete Random SignalsEffects of Finite Register Length in Digital Signal ProcessingHomomorphic Signal ProcessingPower Spectrum Estimation