Channel Equalization Using Wavelet Denoising


A problem in digital signal transmission occurs when a signal in onesignal interval overlaps the signal in an adjacent interval. This problem is calledintersymbol interference and limits the speed of digital transmission. Interferenceand noise are common in communication channels, and the recovery oftransmitted signals may be a difficult task. The adaptive equalizer which is usedto recover the transmitted signals and LMS algorithm which is one of the mostefficient criteria for determining the values of the adaptive equalizer coefficientsare very important in communication systems, but the LMS adaptive equalizersuffers response degrades and slow convergence rate under low Signal-to- Noiseratio (SNR) condition. The present work is concerned with the development andapplication of wavelet transform based denoising technique for improving theresponse and convergence rate of LMS adaptive equalizer in digitalcommunication systems under low SNR.