Linear Block Coding and Discrete Wavelet Transform Based Audio Signal Transmission over AWGN and Rician Fading Channels

Authors : Serap KARAGÖL, Dogan YİLDİZ

Pages : 104-114

Doi:10.17694/bajece.456774

View : 11 | Download : 7

Publication Date : 2019-04-30

Article Type : Research Paper

Abstract :Mobile communication has become an important part of our daily lives for voice communication, data sharing and access over the Internet. Mobile communication is an open network, so maintaining the privacy and reliability of data has always been anxiety. The reliability of the data against channel noise can be achieved by various error correction codes. The purpose of the channel coding process is to reduce the effect of some disruptive elements that the data is influenced in the transmission phase as much as possible. This procedure ensures that the data is delivered to the receiver with minimum error. In this study, a communication system was established in MATLAB environment for the transmission of five second audio signal. In this communication system, BER and MSE performances of four phase shift keying methods are obtained first.  In the second phase of the study, the AWGN and Rician fading channels were individually coded with four different LBC types. Performance evaluation of these coding types was done with BER and MSE criteria. In the last part of the study, it was investigated which wavelet family is suitable for which level, in order to ensure audio transmission over AWGN and Rician fading channels with the least possible error. Four wavelet transform families at different levels were applied to the audio signal for LBC insert ignore into journalissuearticles values(7, 4);, LBC insert ignore into journalissuearticles values(15, 8);, LBC insert ignore into journalissuearticles values(17, 8); and LBC insert ignore into journalissuearticles values(23, 12); encoded channels, and the Mean Squared Error insert ignore into journalissuearticles values(MSE); performances were compared.
Keywords : Audio Signals, Channel Coding, Linear Block Coding, Wavelet Transform