Digital Signal Processing: A Practical Guide for Engineers and Scientists

The Breadth and Depth of DSP; Statistics, Probability and Noise; ADC and DAC; DSP Software; Linear Systems; Convolution; Properties of Convolution; The Discrete Fourier Transform; Applications of the DFT; Fourier Transform Properties; Fourier Transform Pairs; The Fast Fourier Transform; Continuous Signal Processing; Introduction to Digital Filters; Moving Average Filters; Windowed-Sinc Filters; Custom Filters; FFT Convolution; Recursive Filters; Chebyshev Filters; Filter Comparison; Audio Processing; Image Formation and Display; Linear Image Processing; Special Imaging Techniques; Neural Networks (and more!); Data Compression; Digital Signal Processors; Getting Started with DSPs; Complex Numbers; The Complex Fourier Transform; The Laplace Transform; The z-Transform; Index