Includes bibliographical references and index.

Digital Signal Processing -- How to Read this Text -- Introduction to Matlab -- Signals, Vectors, and Arrays -- Review of Vector and Matrix Algebra Using Matlab Notation -- Geometric Series and Other Formulas -- Matlab Functions in DSP -- The Chapters Ahead -- Least Squares, Orthogonality, and the Fourier Series -- Least Squares -- Orthogonality -- The Discrete Fourier Series -- Correlation, Fourier Spectra, and the Sampling Theorem -- Correlation -- The Discrete Fourier Transform (DFT) -- Redundancy in the DFT -- The FFT algorithm -- Amplitude and Phase Spectra -- The Inverse DFT -- Properties of the DFT -- Continuous Transforms -- The Sampling Theorem -- Waveform Reconstruction and Aliasing -- Linear Systems and Transfer Functions -- Continuous and Discrete Linear Systems -- Properties of Discrete Linear Systems -- Discrete Convolution -- The z-Transform and Linear Transfer Functions -- Poles and Zeros -- Transient Response and Stability -- System Response via the Inverse z-Transform -- Cascade, Parallel, and Feedback Structures -- Direct Algorithms -- State-Space Algorithms -- Lattice Algorithms and Structures -- FFT Algorithms -- Discrete Linear Systems and Digital Filters -- FIR Filter Design -- An Ideal Lowpass Filter -- The Realizable Version -- Improving an FIR Filter with Window Functions -- Highpass, Bandpass, and Bandstop Filters -- A Complete FIR Filtering Example -- Other Types of FIR Filters -- IIR Filter Design -- Linear Phase -- Butterworth Filters -- Chebyshev Filters -- Frequency Translations.

1