Adaptive Filter Design Using Discrete Orthogonal Functions

摘要

Discrete orthogonal functions are used in adaptive system identificationalgorithms. Adaptive filters are realized by forming linear combinations of discrete Legendre, Laguerre, and Jacobi polynomials, and backward prediction-error polynomials from a lattice structure. The adaptive filter weights are updated using the LMS algorithm. FIR and IIR bandpass filters are modeled using the adaptive filters, and performance comparisons are made.