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Some algorithms of variable step size LMS adaptive filtering are studied.The VS—LMS algorithm is improved. Another new non-linear function between肛and e(/ t)is established.The theoretic analysis and computer simulation results show that this algorithm converges more quickly than the origina1.Furthermore,better antinoise property is exhibited under Low—SNR environment than the original one.-variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.
Update : 2025-02-17 Size : 3kb Publisher : 上将

iris recognition by wavelet under the noisy condition
Update : 2025-02-17 Size : 378kb Publisher : meysam
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