Wiener Filter in Fourth Order Moment Based Wavelet Denoising for Enhancing Channel Bit Error Rate (BER) Performance
The wavelet transform converts a signal in one domain into another for better understanding of the structure
and features of any given signal. Recently, performance of various denoising methods has been analyzed and the result
shows that Fourth order moment based denoising provides better performance, in the same study the proposed modified
Fourth order moment denoising provides better Bit Error Rate (BER) performance than previous work. Wiener filtering is
an excellent method to estimate a noisy signal. In this work, the modified Fourth order moment based denoising technique
is used in Wavelet domain (WD) Wiener filtering algorithm to estimate less noisy Wavelet coefficient for denoising
purpose. The modified Fourth order moment reduces noise by allowing wavelet coefficients having noise below a certain
threshold level. Computer simulation is performed to investigate the performance of the proposed technique. The
simulation result shows that the joint use of WD-Wiener filter in modified Fourth order moment based denoising provides
better BER performance than that of modified Fourth order moment based denoising. Finally, Wiener filter was also
applied to detect noise free image through the same noisy fading channel.
Keywords: Denoising, fading channel, fourth order moment, wavelet transform, wiener filtering.
Rights & PermissionsPrintExport