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Siam Ali I. Elazm Atef Abou El-Bahnasawy Nirmeen A. El Banby Ghada M. Abd El-Samie Fathi E. 《Multimedia Tools and Applications》2021,80(17):26001-26019
Multimedia Tools and Applications - One of the known problems in security systems is to identify persons based on certain signatures. Biometrics have been adopted in security systems to identify... 相似文献
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Hossam Hammam Atef Abou Elazm Mohamed E. Elhalawany Fathi E. Abd El-Samie 《International Journal of Speech Technology》2010,13(1):1-12
This paper deals with the problem of blind separation of audio signals from noisy mixtures. It proposes the application of
a blind separation algorithm on the discrete cosine transform (DCT) or the discrete sine transform (DST) of the mixed signals,
instead of performing the separation on the mixtures in the time domain. Wavelet denoising of the noisy mixtures is recommended
in this paper as a preprocessing step for noise reduction. Both the DCT and the DST have an energy compaction property, which
concentrates most of the signal energy in a few coefficients in the transform domain, leaving most of the transform domain
coefficients close to zero. As a result, the separation is performed on a few coefficients in the transform domain. Another
advantage of signal separation in transform domains is that the effect of noise on the signals in the transform domains is
smaller than that in the time domain due to the averaging effect of the transform equations, especially when the separation
algorithm is preceded by a wavelet denoising step. The simulation results confirm the superiority of transform domain separation
to time domain separation and the importance of the wavelet denoising step. 相似文献
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