Performance Comparison between LDPC Code and BCH Code in Wireless Channel

In digital world, all information is in term of 0 and 1. Even the information such
as sound, video, graphic or text is in term of 0 and 1. If the information is transmitting
through a noisy channel, there is a risk for error to occur. Error correcting code was
invented to solve this problem. For this project, the performance evaluation between
Low Density Parity Check (LDPC) and Bode-Chaudhuri-Hocquenghem (BCH) in
wireless channel is presented. The Addictive White Gaussian Channel (AWGN) is used
to represent the wireless channel. A black and white image was used as the data. Peak
Signal to Noise Ratio (PSNR) was used to measure the quality of the reconstructed
image. If the PSNR value is between 30 dB and SO dB, the quality of the output image is
considered good. As the PSNR value increases, the quality of output image gets better.