Adaptive filter design using discrete orthogonal functions
By: Steven J. McPhillips
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1992
Place of publication: Monterey, Calif
Language: eng
Format: [electronic resource] /
Number of pages: 42
Description: 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.
Notes: Thesis Advisor: Tummala, Murali.

"March 1992."

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 1992.

Includes bibliographical references (p. 41).

"Approved for public release, distribution unlimited"--Cover.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

US Navy (USN) author.

ck/ 2/4/09.