Noise wavelet evaluating near to zero by thresholding method analyzing

Authors:
Amin Daneshmand Malayeri;Nikos E. Mastorakis
Affiliations:
Young Researchers Club, Islamic Azad University, Malayer, Iran;WSEAS, Athens, Greece
Venue:
ICCC'11 Proceedings of the 2011 international conference on Computers and computing
Year:
2011

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Abstract

speech analyzing in special periods of time has been presented in this paper. One of the most important periods in signal processing is near to Zero. By this paper, we analyze noise speech signals when these signals are near to Zero. Our strategy is defining some subfunctions and compress histograms when a noise speech signal is in a special period. It can be so useful for wavelet signal processing and spoken systems analyzing.