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- W2907348249 abstract "In this paper, we develop statistical analysis of an FIR-type adaptive filter employing the Sign Algorithm (SA) with a Gaussian regressor, based on a proposed assumption that the tap weights are Gaussian distributed. The prior analysis of the SA assumed jointly Gaussian error and regressor, for which theoretical convergence has a limited accuracy, particularly when the variance of the tap weights is not small enough. The proposed Gaussian distributed tap weight assumption has been proven to improve the accuracy of the analysis. We propose use of a Gaussian probability density function of the error given the tap weight misalignment under the Gaussian distributed tap weight assumption. In the analysis, we develop equations to theoretically calculate transient behavior of filter convergence in terms of Excess Mean Square Error. In experiments, we examine the proposed new method of analysis of the SA, where for some examples theoretical convergence is compared with simulation results, to find good agreement between simulation and theory, showing the validity of the proposed assumption and analysis." @default.
- W2907348249 created "2019-01-11" @default.
- W2907348249 creator A5087980117 @default.
- W2907348249 date "2018-09-01" @default.
- W2907348249 modified "2023-10-04" @default.
- W2907348249 title "A New Method of Analysis of the Sign Algorithm Based on Gaussian Distributed Tap Weights" @default.
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- W2907348249 doi "https://doi.org/10.1109/iscit.2018.8588016" @default.
- W2907348249 hasPublicationYear "2018" @default.
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