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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1481-4
Abstract: This work presents a novel time series behavior matching algorithm for analyzing behavior (trend) similarity between two given time series. Unlike traditional approaches, our dynamic programming based approach “Behavior Matching (BM)” is based on trends…
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Keywords:
novel time;
time;
time series;
behavior matching ... See more keywords
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Published in 2017 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2017.07.032
Abstract: Abstract To solve the linear and nonlinear dynamic equation of motion, a family of explicit higher-order time integration algorithms is presented. The differential transformation method in conjunction with the state–space concept is used. In this…
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Keywords:
time integration;
integration formulation;
novel time;
nonlinear dynamic ... See more keywords
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Published in 2020 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2935399
Abstract: This article presents a novel time-shared and lookup table (LUT)-less pipelined architecture for a least-mean-square (LMS) adaptive filter (ADF). The proposed approach first employs a time-shared architecture for the pipelined LMS ADF to compute each…
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Keywords:
lut less;
filter;
architecture;
novel time ... See more keywords