Transmission of Audio over LTE Packet Based Wireless Networks Using Wavelets

In the present study, the main goal is to analyse the performance of audio data for wireless VOIP (Voice Over IP) proposed model utilizing wavelets. This treatise represents a performance study of wireless VOIP for recorded audio signal using different wavelet families such as Coiflet, Daubechies family (Db2, Db4, Db6, Db8, and Db10), Haar and Symlet. The performance was approximated with the subsequent procedure. Firstly, the recorded audio data was decomposed up to 4-levels by means of wavelet transform. From simulation results it is clear that wavelets are more practical and dominant tool meant for analyzing audio signals, as it exhibits multi-resolution property with a considerable decrease in the time complexity for removing resolution problems. Furthermore, it was concluded that Coiflet performs best at 1st and 3rd decomposition levels, while Haar and Db8 (Daubechies 8) performs the best among the other wavelets at 2nd and 4th decomposition levels respectively. Further, the parameters such as SNR (Signal/Noise Ratio), PSNR (Peak S/N Ratio), NRMSE (Normalized Root Mean Square Error), PRSE (Percentage of Retained Signal Energy) and Compression Ratio are used to investigate the performance. Additionally, transmission capabilities are also analyzed using packet loss and delay. Finally, ANOVA (Analysis of Variance) statistical tool has been applied to test the effectiveness of recorded data on 4 groups.

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