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- W2367196153 abstract "Speech noise canceling is an important research field of adaptive signal processing.This paper simulates the performance of adaptive speech noise canceling based on LMS algorithms using matlab.These LMS algorithms contain time domain fixed steplength LMS,time domain variable steplength LMS,and frequency domain LMS based on fast fourier transform(FFT) technology.Experimental results proved that the improved signal-to-noise ratio of time domain variable steplength LMS was the same as FLMS,and 1dB highter than time domain fixed steplength LMS algorithm.The efficiency of FLMS is higher than traditional time domain LMS algorithms,and time ratio is related to total sample number." @default.
- W2367196153 created "2016-06-24" @default.
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- W2367196153 date "2008-01-01" @default.
- W2367196153 modified "2023-09-24" @default.
- W2367196153 title "Performance study of adaptive speech noise canceling based on LMS algorithm" @default.
- W2367196153 hasPublicationYear "2008" @default.
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