On the Estimation of Complex Speech DFT Coefficients Without Assuming Independent Real and Imaginary Parts

Abstract

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 these… (More)
DOI: 10.1109/LSP.2007.911730

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@article{Erkelens2008OnTE, title={On the Estimation of Complex Speech DFT Coefficients Without Assuming Independent Real and Imaginary Parts}, author={Jan S. Erkelens and Richard Christian Hendriks and Richard Heusdens}, journal={IEEE Signal Processing Letters}, year={2008}, volume={15}, pages={213-216} }