PENGARUH NILAI VARIANS DAN STEP SIZE TERHADAP MEAN SQUARE DEVIATION PADA LEAST MEAN SQUARE FILTER ADAPTIF
DOI:
https://doi.org/10.34151/technoscientia.v0i0.2010Keywords:
Least Mean Square Adaptive, Mean Square Deviation, Konvergens, TransienAbstract
Variant value and step size effect of an adaptive filter are required to know how system to work, how fast the reachable system stability and how big adaptive filter can be able to eliminate the noise. At LMS adaptive, all of variants value stability systems reached and assess variant of input influence mean square deviation (MSD) con-vergence.Stability of system reached at value of step size, correlation matrix ( R ), and to the number of certain element weight vector. Normalization data convergence by MSD is compared to bigger of linear error convergence from MSD, that way the things of compared to bigger MSD simulation convergence of MSD Theory. MSD Convergence compare diametrical with input variant value and assess step size.
References
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Al-Naffouri,T.Y. dan Ali .H.Sayed , 2003, “Transient Anslysis of Data Nor-malized Adaptive Filters”, IEEE Transaction on signal process-ing, vol.51 No.3, hal 639-652.
Haykin, S ,1996, “Adaptive Filte Theory Third Edition”, Prentice Hall Inter-national, Inc, New Jersey.
Hubscher,P.I. and J.C.M. Bermdez, 20-03, ”An Improved Statisttical A-nalysis of Least mean Fourth (L-MF) Adaptive Algoritma”, IEEE Transaction On Signal Process-ing, Vol 51. No.3, hal 664-671.
Sethares,W, 1992,” Adaptive Algoritma with nonlinear data and error function”, IEEE Transaction On Signal Processing, Vol .40, hal 2199-2206.
Yousef, N.R dan Ali H Sayed, 2001,” A Unified Approach to the Steady-Stete and tracking of a-daptive filter”, IEEE Transaction on sig-nal processing, vol.49 No. 2, hal 314-324
Yousef, N.R dan Ali H. Sayed, 2002. ”A-bility of Adaptive Filters to Track Carrier offsets and channel nonstationarities”, IEEE Transac-tion on signal processing, vol.50 No.7, hal 1533-1543
Widrow,B. dan S.D. Stearns, 1985, ”A-daptive Sinal Processing”, Pren-tice-Hall, Inc, Englewood Cliffs.
Al-Naffouri,T.Y. dan Ali .H.Sayed , 2003, “Transient Anslysis of Data Nor-malized Adaptive Filters”, IEEE Transaction on signal process-ing, vol.51 No.3, hal 639-652.
Haykin, S ,1996, “Adaptive Filte Theory Third Edition”, Prentice Hall Inter-national, Inc, New Jersey.
Hubscher,P.I. and J.C.M. Bermdez, 20-03, ”An Improved Statisttical A-nalysis of Least mean Fourth (L-MF) Adaptive Algoritma”, IEEE Transaction On Signal Process-ing, Vol 51. No.3, hal 664-671.
Sethares,W, 1992,” Adaptive Algoritma with nonlinear data and error function”, IEEE Transaction On Signal Processing, Vol .40, hal 2199-2206.
Yousef, N.R dan Ali H Sayed, 2001,” A Unified Approach to the Steady-Stete and tracking of a-daptive filter”, IEEE Transaction on sig-nal processing, vol.49 No. 2, hal 314-324
Yousef, N.R dan Ali H. Sayed, 2002. ”A-bility of Adaptive Filters to Track Carrier offsets and channel nonstationarities”, IEEE Transac-tion on signal processing, vol.50 No.7, hal 1533-1543
Widrow,B. dan S.D. Stearns, 1985, ”A-daptive Sinal Processing”, Pren-tice-Hall, Inc, Englewood Cliffs.
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Published
22-02-2019
How to Cite
Pagiling, L. (2019). PENGARUH NILAI VARIANS DAN STEP SIZE TERHADAP MEAN SQUARE DEVIATION PADA LEAST MEAN SQUARE FILTER ADAPTIF. JURNAL TEKNOLOGI TECHNOSCIENTIA, 233–243. https://doi.org/10.34151/technoscientia.v0i0.2010
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