Narasimhan, SV (1985) Invited paper Application of the least mean fourth (LMF) adaptive algorithm to signals associated with gaussian noise. In: International Journal of Electronics, 62 (6). 895 -913.Full text not available from this repository. (Request a copy)
This paper considers the applicability of the least mean fourth (LM F) power gradient adaptation criteria with 'advantage' for signals associated with gaussian noise, the associated noise power estimate not being known. The proposed method, as an adaptive spectral estimator, is found to provide superior performance than the least mean square (LMS) adaptation for the same (or even lower) speed of convergence for signals having sufficiently high signal-to-gaussian noise ratio. The results include comparison of the performance of the LMS-tapped delay line, LMF-tapped delay line, LMS-lattice and LMF-lattice algorithms, with the Burg's block data method as reference. The signals, like sinusoids with noise and stochastic signals like EEG, are considered in this study.
|Item Type:||Journal Article|
|Additional Information:||copy right of this article belongs to Taylor and Francis Group.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||27 Aug 2009 04:16|
|Last Modified:||27 Aug 2009 04:16|
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