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

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.

Keywords

• Audio Signal,Channel Coding,Reed-Solomon Coding,Wavelet Transform Families

References

1. [1] John G. Proakis and Masoud Salehi, Digital Communications, McGraw-Hill Inc., Fifth Edition, p.751, 2008.
2. [2] Lin and Daniel J Costello, Error Control Coding: Fundamentals and Applications, Englewood Cliffs, Prentice Hall, NJ, p.2, 1983.
3. [3] Moreira JC and Farrell PG, Essentials of Error-Control Coding, John Wiley & Sons, England, 2006.
4. [4] Md. Sipon Miah, M. Mahbubur Rahman, T. K Godder, Bikash Chandra Singh and M. Tania Parvin,''Performance comparison of AWGN, flat fading and frequency selective fading channel for wireless communication system using 4QPSK'', International journal of computer and information technology (IJCIT), Vol. 01, Issue 02, pp. 82-90, 2011.
5. [5] Béchir Taleb Ali, Geneviève Baudoin, Olivier Venard, ''Data Transmission Over Mobile Voice Channel Based on M-FSK Modulation'', Wireless Communications and Networking Conference (WCNC) Proc., 2013.
6. [6] Md. Golam Rashed, M. Hasnat Kabir, Md. Selim Reza, Md. Matiqul Islam, Rifat Ara Shams, Saleh Masum, Sheikh Enayet Ullah, ''Transmission of voice signal: BER performance analysis of different FEC schemes based OFDM system over various channel'', International journal of advanced science and technology, vol. 34, pp.89-100, 2011.
7. [7] Tiantioukas Nikolaos, ''Effects of the Wireless Channel, Signal Compression and Network Architecture on Speech Quality ın VOIP Networks'', Master of Science in Electrical Engineering Thesis, Naval Postgraduate School Monterey, June 2007.
8. [8] Ali Tariq Bhatti, ''Cyclic channel coding algorithm for original and received voice signal at 8 khz using ber performance through additive white gaussian noise channel'', International journal of innovative science, engineering & technology (IJISET), Vol. 2 Issue 4, pp. 843-852, 2015.

9. [9] Ali Tariq Bhatti, Dr. Jung H. Kim, ''implementation of reed-solomon (rs) and cdma for signaling a voice through AWGN at 8 KHz sampling frequency using BPSK'', International journal of advent research in computer and electronics (IJARCE), vol.2, no.8, pp.13-27, August 2015.
10. [10] Thuraya Mahmood Qaradaghi, Fatima Kamil Faek, Diana Hayder Hussein, ''Investigating the Effect of Error Correcting Codes on the Compressed Speech Signals'', 1st International Conference on Engineering and Innovative Technology, SU-ICEIT 2016, Salahaddin University-Erbil, Iraq, April 12-14, 2016.
11. [11] G. Tzanetakis, G. Essl, P. Cook, "Audio Analysis Using the Discrete Wavelet Transform", Proc. Conf. Acoustics and Music Theory Applications, September 2001.
12. [12] Bernard Sklar, "Digital Communications Fundamentals and Applications Second Edition", Prentice Hall P T R Upper Saddle River, New Jersey 07458.
13. [13] Croisier, A., Esteban, D., and Galand, C., "Perfect Channel Splitting by Use of Interpolation/Decimation/TreeDecomposition Techniques",In Proc. Int. Conf. On Info. Sciences and Systems, Greece, p. 443–446, 1976.
14. [14] P. M. A. K. Louis and A. Rieder, Wavelets Theory and Applications. John Wiley & Sons, 1997.
15. [15] S. G. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” vol. 11, pp. 674–693, July 1989.
16. [16] I. Daubechies, Ten lectures on wavelets, vol. 61 of CBMS-NSF Regional conference series in applied mathematics, Philadelphia, PA: Society for industrial and applied mathematics (SIAM), 1992. BIOGRAPHIES