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, dis-crete random signals, effects of finite register length, homo-morphic signal processing, and power spectrum estimation.The authors closely integrate over 200 carefully prepared homework problems, many of which extend the funda-mentals 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. Table of Contents Preface. Introduction. Discrete-Time Signals and Systems. The Z-Transform. The Discrete Fourier Transform. Flow Graph and Matrix Representation of Digital Filters. Digital Filter Design Techniques. Computation of the Discrete Fourier Transform. Discrete Hilbert Transforms. Discrete Random Signals. Effects of Finite Register Length in Digital Signal Processing. Homomorphic Signal Processing. Power Spectrum Estimation. Index.

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