Chen C.-T. Digital Signal Processing. Spectral Computation and Filter Design

Oxford University Press, 2001. — 458 p.Designed for a first course in digital signal processing, Digital Signal Processing: Spectral Computation and Filter Design covers two major topics: the computation of frequency contents of signals and the design of digital filters. While it focuses on basic ideas and procedures and covers the standard topics in the field, this unique text distinguishes itself from competing texts by extensively employing the fast Fourier transform (FFT).
Part 1 Spectral Computation deals with continuous-time (CT), discrete-time (DT), and digital signals; CT and DT Fourier series (frequency components); CT and DT Fourier transforms (frequency spectra); and discrete Fourier transform (DFT) and fast Fourier transform (FFT). Part 2 Digital Filter Design discusses linear time-invariant lumped systems; ideal and practical digital filters; design of FIR digital filters; design of IIR filters; and structures of digital filters.Spectral Computation
CT and DT Fourier Series—Frequency Components
CT and DT Fourier Transforms—Frequency Spectra
DFT and FFT—Spectral Computation
Digital Filter Design
Linear Time-Invariant Lumped Systems
Ideal and Some Practical Digital Filters
Design of FIR Filters
Design of IIR Filters
Structures of Digital Filters