White S. Digital Signal Processing. A Filtering Approach

Издательство Delmar, 2000, -229 pp.Digital signal processing (DSP) refers to anything that can be done to a signal using code on a computer or DSP chip. To reduce certain sinusoidal frequency components in a signal in amplitude, digital filtering is done. One may want to obtain the integral of a signal. If the signal comes from a tachometer, the integral gives the position. If the signal is noisy, then filtering the signal to reduce the amplitudes of the noise frequencies improves signal quality. For example, noise may occur from wind or rain at an outdoor music presentation. Filtering out sinusoidal components of the signal that occur at frequencies that cannot be produced by the music itself results in recording the music with little wind and rain noise. Sometimes the signal is corrupted not by noise, but by other signal frequencies that are of no present interest. If the signal is an electronic measurement of a brain wave obtained by using probes applied externally to the head, other electronic signals are picked up by the probes, but the physician may be interested only in signals occurring at a particular frequency. By using digital filtering, the signals of interest only can be presented to the physician.Introduction to Digital Signal Processing & Digital Filtering
Effect of Signal Sampling
Digital Filter Specifications
z-Transforms
z-Transform of DSP Equation
Frequency Response of Digital Filters & DSP Systems
IIR Filter Design
Digital Filter & DSP Stability
Filter Coefficient Precision
FIR Filter Design
Windows for FIR Filters
Practical Digital Filter Considerations
Digital Integration
Laplace Transform Tables
Entering Mathcad Program