ALGORITMA FxAFA LANGKAH ADAPTASI DINAMIS UNTUK PENGHAPUSAN DERAU
DOI:
https://doi.org/10.30595/sainteks.v9i2.269Abstract
In the present study has addressed the application of noise canceling FxAFA using dynamic step size algorithm, and we got the result that the noise reduction of FxAFA dynamic step size algorithms better then FxAFA algorithm. But when Compared with the noise reduction to FxLMS algorithms, FxLMS still better than the FxAFA dynamic step size algorithm. Based on the data from the computer simulation results of noise reduction FxLMS = 27.6793 dB, FxAFA dynamic step size and FxAFA db = 26.0329 = 23.6059 dB. Keywords: FxAFA, FxAFA dynamic adaptation measures, noise removalReferences
Akhtar, Muhammad Tahir., Masahide Abe, Masayuki Kawamata., 2004, Adaptive Filtering With Averaging-Based for Feedward Active Noise Control Systems, IEEE Signal Processing Letters, Vol 11 No.6 June 2004, Hal:557-560.
Greenberg, Julie E., Juli 1998, Modified LMS Algorithm for Speech Processing with an Adaptive Noise Canceller, IEEE transactions on speech and audio processing vol.6 No 4, Hal 338-351.
Haykin, S., 1991, Adaptive Filter Theory, 2nd edition, New Jersey: Prentice Hall
Kuo, Sen M. et al., 1999, Active Noise Control: A Tutorial Review, Proceedings of the IEEE, Vol 87, No 6.
Kuo, Sen M. et al., 1996, Design of Active Noise Control System With the TMS320 Family, Texas Instruments.
P. Babu., A Khrisnan, 2009., Modified FxAFA Algorithm Using Dynamic Step
Size for Active Noise Control Systems, International Journal of Recent Trends in Engineering, Vol 2, No. 7, Academy Publisher.
Taufiq, Arif Johar, Tamam. M. Taufiq.,2009, Reduksi Derau Frekuensi Rendah
Dengan Algoritma FxLMS (Filtered-X Least Mean Square), Penelitian Hibah
Prodi, LPPM UMP
Taufiq, Arif Johar , Dwiono, Wakhyu, 2010., Kinerja Algoritma LMS dan AFA untuk Identifikasi Grey Box, Penelitian Hibah Prodi, LPPM UMP.
Tobias, Orlando Jose., 2006., Mean Weigth Behavior of the FxAFA LMS Algorithm, IEEE Transactions on signal Processing, Vol. 54, No. 2 Febrary, Hal 801-804.
Vaseghi, Saeed. V., 2000, Advanced Digital Signal Processing and Noise Reduction, Second Edition, John Wiley & Sons LTD, New York, USA.
Widrow, B., 1985, Adaptive Noise Cancelling: Principles and Aplications, Proc. IEEE vol 63, no 12, hal 1692-1716.
Widrow, B., Strears, S.D.,1985. Adaptive Signal Processing. Prentice Hall, New Jersey: Englewood Cliffs
Xiao, Lin., Shau-Shin, Jan., 1990, Adaptive Noise Canceling in an Acoistic
Ductâ€, UK: Stanford University
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