Searched for: subject%3A%22Discrete%255C+fourier%255C+transform%255C+%255C%2528DFT%255C%2529%22
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document
Azizi, Sadegh (author), Sun, Mingyu (author), Terzija, Vladimir (author), Popov, M. (author)
Short-circuit faults occurring close to either end of a transmission line are normally cleared with some time delay by the distance relay at the opposite end of that line. The pilot relaying schemes require communication media in order to reduce this time delay. This paper presents a noncommunication method that provides high-speed distance...
conference paper 2019
document
Shang, H. (author), Jia, L. (author), Menenti, M. (author)
Daily time series of microwave radiometer data obtained in one-orbit direction are full of observation gaps due to satellite configuration and errors from spatial sampling. Such time series carry information about the surface signal including surface emittance and vegetation attenuation, and the atmospheric signal including atmosphere...
journal article 2016
document
Erkelens, J.S. (author), Heusdens, R. (author)
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. The method can accurately track fast changes in noise power level (up to about 10 dB/s). In each time frame, for each frequency bin, the noise variance estimate is updated recursively with the minimum mean-square...
journal article 2008
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Hendriks, R.C. (author), Jensen, J. (author), Heusdens, R. (author)
All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in advance, estimation from the noisy speech signal is necessary. An overestimation of the noise PSD will lead to a loss in speech quality, while an underestimation will...
journal article 2008
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Erkelens, J.S. (author), Hendriks, R.C. (author), Heusdens, R. (author)
This letter considers the estimation of speech signals contaminated by additive noise in the discrete Fourier transform (DFT) domain. Existing complex-DFT estimators assume independency of the real and imaginary parts of the speech DFT coefficients, although this is not in line with measurements. In this letter, we derive some general results on...
journal article 2008
Searched for: subject%3A%22Discrete%255C+fourier%255C+transform%255C+%255C%2528DFT%255C%2529%22
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