Adaptive filter design using discrete orthogonal functions
Authors
McPhillips, Steven J.
Subjects
Finite impulse response modeling
Infinite impulse response modeling
Orthogonal functions
Legendre polynomials
Laguerre polynomials
Jacobi polynomials
Adaptive signal filters
Lattice filter
Infinite impulse response modeling
Orthogonal functions
Legendre polynomials
Laguerre polynomials
Jacobi polynomials
Adaptive signal filters
Lattice filter
Advisors
Tummala, Murali
Date of Issue
1992-03
Date
March 1992
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Discrete orthogonal functions are used in adaptive system identification algorithms. 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.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.