Complete Digital Signal Processing

Signal Processing is becoming increasingly important to every aspect of electronic design. This unique tutorial uses real world problems and worked examples rather than an equation-heavy methodology to teach the use of key transforms and common filters vital to today's microelectronic design problems.

Contents: Continuous-Time Signals and Their Spectra * Noise * Linear Systems * Classical Analog Filters * Foundations of DSP * Transform Analysis of Discrete Time Systems * DFT * FFTs * FIR Filters * FIR Filters via Remez Exchange * Performance of IIR Filters * Multirate Signal Processing * Random Signals and Sequences * Parametric Models of Random Process * Linear Predictions * Adaptive Filters * Classical Spectral Estimation * Modern Spectral Estimation * Wavelet-Based Signal Processing, Speech Processing * Data Communications