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 (RS) Coding Method was
 used to transmit two audio data recorded in .wav format with minimum error.
 Binary Phase Shift Keying (BPSK) modulation was used as the modulation
 method.  The Bit Error Rate (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.
Highlights
TO TRANSMIT data along the channel, the digital information is converted into electrical impulses or waveforms
In the second part of the study, four wavelet transform families at different levels were applied to the audio signals and the performances of these classes were compared
AWGN is added and the noisy signals are modulated with Binary Phase Shift Keying (BPSK) in the fourth step
Summary
TO TRANSMIT data along the channel, the digital information is converted into electrical impulses or waveforms. Miah and Rahman [4] used a wireless communication simulator that included Gray coding, modulation, different channel models (frequency selective fading channels, smooth fading channels, Additive White Gaussian Noise (AWGN)), channel estimation, adaptive equalization and demodulation They tested the effects of different channel models on transmitted data using Quadrature Phase Shift Keying (QPSK) schemes at the receiver. In the first part of this study, two audio signals were recorded for 5 sec, in .wav format where each samples were expressed with 8 bits that has 8 kHz sampling frequency in MATLAB environment These obtained audio signals were coded with the Reed-Solomon Coding Method by applying to the AWGN noisy channel. In the second part of the study, four wavelet transform families at different levels were applied to the audio signals and the performances of these classes were compared
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