Author
Abstract
A problem in digital signal transmission occurs when a signal in one
signal interval overlaps the signal in an adjacent interval. This problem is called
intersymbol interference and limits the speed of digital transmission. Interference
and noise are common in communication channels, and the recovery of
transmitted signals may be a difficult task. The adaptive equalizer which is used
to recover the transmitted signals and LMS algorithm which is one of the most
efficient criteria for determining the values of the adaptive equalizer coefficients
are very important in communication systems, but the LMS adaptive equalizer
suffers response degrades and slow convergence rate under low Signal-to- Noise
ratio (SNR) condition. The present work is concerned with the development and
application of wavelet transform based denoising technique for improving the
response and convergence rate of LMS adaptive equalizer in digital
communication systems under low SNR.
Keywords
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