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This derivation of the normalised least mean square algorithm is based on Farhang-
Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm
we consider the standard LMS recursion, for which we select a variable step size
parameter, μ(n). This parameter is selected so that the error value , e+(n), will be
Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm
we consider the standard LMS recursion, for which we select a variable step size
parameter, μ(n). This parameter is selected so that the error value , e+(n), will be
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下载文件列表
source/1khz.txt
source/berhasil demod tanpa function.txt
source/berhasil demod.txt
source/berhasil mod pake function.txt
source/mencari a lookup table created with MATLAB.txt
source/Sekilas bab 4 alternatif 2.txt
source/Sekilas bab 4.txt
source/sekilas gambaran analisa bab 4.txt
source/source.txt
source/sukses demod dgn function fix.txt
source/sukses demod dgn function.txt
source/uji demod.txt
source
source/berhasil demod tanpa function.txt
source/berhasil demod.txt
source/berhasil mod pake function.txt
source/mencari a lookup table created with MATLAB.txt
source/Sekilas bab 4 alternatif 2.txt
source/Sekilas bab 4.txt
source/sekilas gambaran analisa bab 4.txt
source/source.txt
source/sukses demod dgn function fix.txt
source/sukses demod dgn function.txt
source/uji demod.txt
source
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