Masters Theses

Abstract

"This thesis involves the implementation of a Kalman filter for the application of echo cancellation. This particular Kalman filter is implemented in the frequency domain, in subbands, so as to make it faster and of lesser calculational complexity for real time applications. To evaluate the functioning of this subband Kalman filter, comparison of the performance of the subband Kalman filter is done with respect to the original time domain Kalman filter, and also with other subband adaptive filters for echo cancellation such as the NLMS filter. Additionally, since background noise affects the working of any adaptive filter, the newly developed subband Kalman filter's performance at different noise conditions is compared, and an attempt to keep track of and predict this noise is also performed"--Abstract, page iii.

Advisor(s)

Grant, Steven L.

Committee Member(s)

Kosbar, Kurt Louis
Moss, Randy Hays, 1953-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2015

Pagination

x, 78 pages

Note about bibliography

Includes bibliographical references (page 77).

Rights

© 2015 Rakesh Vijayakumar, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Kalman filtering
Adaptive filters
Echo suppression (Telecommunication) -- Computer simulation
Adaptive signal processing -- Mathematical models

Thesis Number

T 10804

Electronic OCLC #

936209564

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