Title :
A novel compression algorithm using DWT
Author :
Sharma, R. ; Kesarwani, A. ; Mathur, P.M.
Author_Institution :
EC Dept., AEC, Agra, India
Abstract :
In this paper, a novel algorithm based on Discrete Wavelet Transform has been proposed for good compression ratios. In proposed algorithm, the audio samples of the signal are first decomposed into N equal frames and decomposed signal is processed to remove nonzero coefficients which significantly reduce the size of audio signal. The signal is then thresholded and psychoacoustically modeled to obtain the tonal and non-tonal components. Further, quantization is performed on the masked signal. In the end, the signal is reconstructed and various parameters are studied. In this paper, best compression ratio is achieved with db2 wavelet at level 4 and signals are analyzed on the basis of mathematical parameters viz. SNR, distortion. This has been implemented on MATLAB 7.1 R2009 on an Intel i-5 processor based machine.
Keywords :
audio coding; data compression; discrete wavelet transforms; distortion; quantisation (signal); signal reconstruction; DWT; SNR; audio signal; compression algorithm; compression ratio; decomposed signal; discrete wavelet transform; distortion; mathematical parameters; quantization; Audio compression; Discrete wavelet transforms; Psychoacoustic models; Quantization (signal); Wavelet packets; Audio Compression; DWT; Lossy Compression; MATLAB; Thresholding;
Conference_Titel :
India Conference (INDICON), 2014 Annual IEEE
Conference_Location :
Pune
Print_ISBN :
978-1-4799-5362-2
DOI :
10.1109/INDICON.2014.7030363
