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Noise-adaptive spectra magnitude expansion bridges the gap between compandors used to overcome the limited dynamic range of a transmission channel and noise suppression techniques such as spectral subtraction or spectral short-time wiener filtering. The underlying idea of noise-adaptive spectral magnitude expansion is to adapt the crossover point of the spectral magnitude expansion in e;ach frequency channel based on the noise level. When no restrictions are imposed or the expansion characteristic, many types of spectral short-time filtering, such as spectral subtraction and spectral short-time Wiener filtering, can be considered as special cases of noise-adaptive spectral magnitude expansion.
Author (s): Etter, Walter; Moschytz, George S.
Affiliation:
Signal and Information Processing Lab, ETH, Zurich, Switzerland
(See document for exact affiliation information.)
Publication Date:
1994-05-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=6947
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Etter, Walter; Moschytz, George S.; 1994; Noise Reduction by Noise-Adaptive Spectral Magnitude Expansion [PDF]; Signal and Information Processing Lab, ETH, Zurich, Switzerland; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=6947
Etter, Walter; Moschytz, George S.; Noise Reduction by Noise-Adaptive Spectral Magnitude Expansion [PDF]; Signal and Information Processing Lab, ETH, Zurich, Switzerland; Paper ; 1994 Available: https://aes2.org/publications/elibrary-page/?id=6947