GitHub / mehhdiii / Least-Mean-Square-Estimation-Lack-of-Observation
This repository verifies through simulation on MATLAB the LMS estimator criterion in case of "Lack of observation". Three different distributions: Uniform, Gaussian and Rayleigh are used to verify the criterion. For each case, deviating from the LMSE criterion results in very large increase in LMS Cost.
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PURL: pkg:github/mehhdiii/Least-Mean-Square-Estimation-Lack-of-Observation
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Language: TeX
Size: 61.5 KB
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Created at: about 4 years ago
Updated at: about 4 years ago
Pushed at: about 4 years ago
Last synced at: over 2 years ago
Topics: estimator