Abstract:
One of the Digital signal processing
operations, filtering can achieve acoustic echo
cancellation. Acoustic echo cancellation is a
common occurrence in today’s telecommunication
systems. Echo is the phenomenon in which delayed
and distorted version of an original sound or
electrical signal is reflected back to the source.
These reflected signals caused of time delayed and
a reduction in the quality of the communication.
The cancellation of echo can be efficiently
accomplished by using adaptive filtering
algorithms is implemented in this paper. This
system presents analysis of two algorithms namely
Least Mean Square (LMS) and Discrete Cosine
Transform Least Mean Square (DCT-LMS). The
algorithms is implemented in Matlab and tested
for echo reduction in speech signals. The
performance of the proposed method is evaluated
by using Echo Return Loss Enhancement (ERLE)
and Mean Square Error (MSE). According to the
experimental results, the use of DCT-LMS
algorithm will perform better performance than
the fixed step-size LMS algorithm.
