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  • Balkan Journal of Electrical and Computer Engineering
  • Volume:6 Special Issue
  • Transmission of Audio Signal from Reed-Solomon AWGN Channel Using Wavelet Transform Families

Transmission of Audio Signal from Reed-Solomon AWGN Channel Using Wavelet Transform Families

Authors : Serap KARAGOL, Doğan YILDIZ
Pages : 37-41
Doi:10.17694/bajece.410238
View : 49 | Download : 9
Publication Date : 2018-04-01
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 primary purpose of the channel coding process is to reduce the effect of disturbing influences to the minimum level. In this way, the receiver will be able to receive the data sent by the transmitter with the minimum error. In this research paper, it is required to acquire two audio signals with 8 bits of resolution and 8 kHz sampling frequency for 5 seconds in MATLAB. In the first part of this study, Reed-Solomon insert ignore into journalissuearticles values(RS); Coding Method was used to transmit two audio data recorded in .wav format with minimum error. Binary Phase Shift Keying insert ignore into journalissuearticles values(BPSK); modulation was used as the modulation method.  The Bit Error Rate insert ignore into journalissuearticles values(BER); performance curve was plotted and the difference between the original and the received signal was observed. According to the BER performance curve, as the signal to noise ratio increases, less false data is received at the receiver. In the second part of the study, four wavelet transform families at different levels were applied to the audio signal, and the performances of these classes were compared.
Keywords : Audio Signal, Channel Coding, Reed Solomon Coding, Wavelet Transform Families

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