한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제23권8호
  • /
  • Pages.1984-1989
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  • 1998
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  • 1226-4717(pISSN)
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  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

Performance of the adaptive LMAT algorithm for various noise densities in a system identification mode

  • 발행 : 1998.08.01
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초록

Convergence properties of the stochastic gradient adaptive algorithm based on the least mean absolute third (LMAT) error criterion is presented.In particular, the performnce of the algorithmis examined and compared with least mena square (LMS) algorithm for several different probability densities of the measurement noisein a system identification mode. It is observedthat the LMAT algorithm outperforms the LMS algorithm for most of the noise probability densities, except for the case of the exponentially distributed noise.

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참고문헌

  1. Proc. of IEEE Adaptive noise cancelling: Principles and applications B. Widrow, et al.
  2. IEEE Trans. on Inform. Theory v.30 The least mean fourth (LMF) adaptive algorithm and its family E. Walach;B. Widrow
  3. IEEE Trans. on Signal Proc. v.42 Stochastic gradient adaptation under general error criteria S. C. Douglas;T. Meng
  4. IEEE Jour. on Selected Areas in Communi. v.12 Least mean P-power error criterion for adaptive FIR filter S. Pei;C. Tseng
  5. Jour. of the Korean Inst. of Communi. Sci. v.22 Least mean absolute third (LMAT) adaptive algorithm: PartⅠ. Mean and mean-squared convergence properties Kim, S. D.;Kim, S. S.;Cho, S. H.
  6. Jour. of the Korean Inst. of Communi. Sci. v.22 Least mean absolute third (LMAT) adaptive algorithm: PartⅡ. Performance evaluation of the algorithm Kim, S. D.;kKim, S. S.;Cho, S. H.