Signal Processing Toolbox

Filter Design and Implementation

Filter design is the process of creating the filter coefficients to meet specific filtering requirements. Filter implementation involves choosing and applying a particular filter structure to those coefficients. Only after both design and implementation have been performed can data be filtered. The following chapter describes filter design and implementation in the Signal Processing Toolbox.

Filter Requirements and Specification	Overview of filter design
IIR Filter Design	Infinite impulse reponse filters (Butterworth, Chebyshev, elliptic, Bessel, Yule-Walker, and parametric methods)
FIR Filter Design	Finite impulse reponse filters (windowing, multiband, least squares, nonlinear phase, complex filters, raised cosine)
Special Topics in IIR Filter Design	Analog design, frequency transformation, filter discretization
Filter Implementation	Filtering with your filter
Selected Bibliography	Sources for additional information

Selected Bibliography Filter Requirements and Specification