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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
......\berhasil demod tanpa function.txt
......\berhasil demod.txt
......\berhasil mod pake function.txt
......\mencari a lookup table created with MATLAB.txt
......\Sekilas bab 4 alternatif 2.txt
......\Sekilas bab 4.txt
......\sekilas gambaran analisa bab 4.txt
......\source.txt
......\sukses demod dgn function fix.txt
......\sukses demod dgn function.txt
......\uji demod.txt
source
......\berhasil demod tanpa function.txt
......\berhasil demod.txt
......\berhasil mod pake function.txt
......\mencari a lookup table created with MATLAB.txt
......\Sekilas bab 4 alternatif 2.txt
......\Sekilas bab 4.txt
......\sekilas gambaran analisa bab 4.txt
......\source.txt
......\sukses demod dgn function fix.txt
......\sukses demod dgn function.txt
......\uji demod.txt
source