Date of Award


Publication Type

Master Thesis

Degree Name



Electrical and Computer Engineering

First Advisor

Kwan, H. K.


Engineering, Electronics and Electrical.




In recent years, hands-free telephony systems have experienced growing and great interest for convenience and safety reasons. A non-interference speech signal is an ideal for the hand-free telephony communication system. Because prior to reception, the signal is likely to be unknown, a conventional and simple fixed filter is not useful in this application. Therefore, for reducing acoustic echoes and noise, the cancellers are designed with adaptive transversal FIR digital filters, and based on variants of the least mean square (LMS), recursive least square (RLS) and normalized least mean square (NLMS) algorithms. The ability of updating tap-weights in adaptive filters is suitable for cancelling non-stationary acoustic echo and noise. The experiments tested these three adaptive algorithms with different sets of data, and shown is the comparison of the three algorithms.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2000 .C355. Source: Masters Abstracts International, Volume: 40-03, page: 0752. Adviser: H. K. Kwan. Thesis (M.A.Sc.)--University of Windsor (Canada), 2001.