Abstract
The wavelet transform provides good and in
many times excellent results when used as a
basic block transform in many systems such
as electronic, communication, medical and
even chemical systems. The paper uses the
wavelet packet transform to adjust the tap
gains of the adaptive filter used in channel
equalization and estimation. The results using
the wavelet technique achieve good
improvements in convergence time over the
ordinary LMS algorithm. The two systems
were compared on full mathematical and
simulation basis. Learning curves for
adaptive channel equalization and adaptive
channel estimation using wavelet packet
transform with different mother functions,
different level decompositions, different step
sizes, different levels of signal to noise ratio,
different telephone channels and different
filter sizes were compared with conventional
LMS adaptive channel equalization and
channel estimation. The simulation results
carried out using the MATLAB package
version 6.1, demonstrate the efficiency of the
proposed technique.
many times excellent results when used as a
basic block transform in many systems such
as electronic, communication, medical and
even chemical systems. The paper uses the
wavelet packet transform to adjust the tap
gains of the adaptive filter used in channel
equalization and estimation. The results using
the wavelet technique achieve good
improvements in convergence time over the
ordinary LMS algorithm. The two systems
were compared on full mathematical and
simulation basis. Learning curves for
adaptive channel equalization and adaptive
channel estimation using wavelet packet
transform with different mother functions,
different level decompositions, different step
sizes, different levels of signal to noise ratio,
different telephone channels and different
filter sizes were compared with conventional
LMS adaptive channel equalization and
channel estimation. The simulation results
carried out using the MATLAB package
version 6.1, demonstrate the efficiency of the
proposed technique.
Keywords
Filters
Telephony.Waves