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Advanced Digital Signal Processing
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TLDR
In this article, the authors proposed a method to solve the problem of "uniformity" in the literature. But, the method was ineffective. And, also, incomplete.Abstract:
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Citations
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Journal ArticleDOI
Systematic methods for the computation of the directional fields and singular points of fingerprints
Asker M. Bazen,Sabih H. Gerez +1 more
TL;DR: A very efficient algorithm is proposed that extracts singular points from the high-resolution directional field of fingerprints and provides a consistent binary decision that is not based on postprocessing steps like applying a threshold on a continuous resemblance measure for singular points.
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A state-space approach to adaptive RLS filtering
Ali H. Sayed,Thomas Kailath +1 more
TL;DR: This article is to show how several different variants of the recursive least-squares algorithm can be directly related to the widely studied Kalman filtering problem of estimation and control.
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A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait
TL;DR: The characterization of the proposed double-threshold detector demonstrates that, in most practical situations, the bias of the estimates of the on-off transitions is smaller than 10 ms, the standard deviation may be kept lower than 15 ms, and the percentage of erroneous patterns is below 5%.
Journal ArticleDOI
ANNSTLF-Artificial Neural Network Short-Term Load Forecaster- generation three
TL;DR: In this paper, the authors describe the third generation of an hourly short-term load forecasting system known as ANNSTLF (Artificial Neural Network Short-Term Load Forecaster).
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ANNSTLF-a neural-network-based electric load forecasting system
TL;DR: A load forecasting system known as ANNSTLF (artificial neural-network short-term load forecaster) which has received wide acceptance by the electric utility industry and presently is being used by 32 utilities across the USA and Canada is described.