Synthesizer to speech analysis based on pseudo Wigner distribution

Alfaouri, Mikhled

doi:10.1109/icecs.1996.582914

Cited by 1 publication

(2 citation statements)

References 6 publications

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“…This results in the sum is done by the following decimation As it is demonstrated by the comparison of Figures (1, 2) and Figures (3,41, the timefrequency resolution of the power intensity method is much more accurate than that of the spectrogram. A large dc value, due to squaring, is obtained in the proposed algorithm, since this dc value has no physical significant, it can be removed easily using simple filtering technique.…”

Section: Averaging Over a Set Of Decimated Seriesmentioning

confidence: 96%

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Digital analysis of signal intensities

Alfaouri¹

Proceedings of Digital Processing Applications (TENCON '96)

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In this paper two of the power intensity of the signal directly algorithms for time-frequency characteristic of non-stationary signal are proposed, tested and compared to standard schemes. The first algorithm is based on the continuous time-frequency characteristic and the second is based on the discrete time-frequency character istic.The performance of each algorithm is evaluated and compared to the existing standard spectrogram analysis. The results show that the proposed power intensity waveform analysis provides very good performance in both continuous and discrete time -frequency characteristic for classical evaluation criteria, and for the preservation of data statistics. The Fourier transform of the intensity of signals is computed in continuos and discrete form. Two methods for the digital implementation of the proposed algorithm are suggested and described. Moreover, It is shown that this algorithm is useful for detecting possible nonstationarify of signals.

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Section: Averaging Over a Set Of Decimated Seriesmentioning

confidence: 96%

“…To measure and quantify important features of time and frequency a sophisticated quantitative method is still needed. In general, time dependent spectrum, is simply a signal transformation that depends on two variables, namely time and frequency [3].…”

Section: Introductionmentioning

confidence: 99%

Digital analysis of signal intensities

Alfaouri¹

Proceedings of Digital Processing Applications (TENCON '96)

Self Cite

View full text Add to dashboard Cite

show abstract

Synthesizer to speech analysis based on pseudo Wigner distribution

Cited by 1 publication

References 6 publications

Digital analysis of signal intensities

Digital analysis of signal intensities

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