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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938322
Abstract: This paper investigates the parameter estimation problem for multivariate output-error systems perturbed by autoregressive noises. To reduce the influence of the colored noises on parameter estimates, we turn the original model into the new model…
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Keywords:
recursive least;
model transformation;
least squares;
squares algorithm ... See more keywords
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Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.3026610
Abstract: It is known that adaptive filtering algorithms may tackle relevant communication tasks. In order to reduce the adaptation rate, the least mean squares algorithm and its normalized version may be implemented in a block manner,…
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Keywords:
least mean;
mean squares;
block;
squares algorithm ... See more keywords
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Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2864609
Abstract: In adaptiveg filters, several recursive algorithms have been used to track state-space model vectors in nonstationary environments. So far, kernel recursive algorithms showed the best results in this regard. With this letter, we aim to…
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Keywords:
recursive least;
least squares;
extended recursive;
squares algorithm ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3210959
Abstract: In a fringe projection technique, nonlinearities of used devices are recognized as major factors inducing phase errors, especially when the used camera and projector simultaneously have nonlinear features. In this case, ripple artifacts appear to…
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Keywords:
iterative least;
phase shifting;
squares algorithm;
fringe projection ... See more keywords