Optimized Filter based Compression with Run-length Encoding |
Author(s): |
| Bharti Palya , SAMRAT ASHOK TECHNOLOGICAL INSTITUTE; M. L. Jatav, SAMRAT ASHOK TECHNOLOGICAL INSTITUTE |
Keywords: |
| Wavelet Filter, RLE, Compression, Speech Processing |
Abstract |
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this manuscript, the optimized wavelet filters for the speech signal compression used with the lossless Run-length encoding (RLE). The optimized wavelet filter coefficients are derived with different window techniques such as Kaiser and Blackman windows via simple linear optimization. When the developed wavelet filters are exploited for the speech compression, they gives better compression ratio and also yields good fidelity parameters as compared to other wavelet filters. A comparative study of performance of different existing wavelet filters and the proposed wavelet filters is made in terms of compression ratio (CR), signal-to-noise ratio (SNR) and Peak signal-to-noise ratio (PSNR) and Normalized root-mean square error (NRMSE) at different thresholding levels. The simulation result included in this paper shows the clearly increased efficacy and performance in the field of speech signal processing. |
Other Details |
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Paper ID: IJSRDV5I50335 Published in: Volume : 5, Issue : 5 Publication Date: 01/08/2017 Page(s): 267-270 |
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