M-max partial update leaky bilinear filter-error least mean square algorithm for nonlinear active noise control
Sign Up to like & getrecommendations! Published in 2019 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2019.07.006
Abstract: Abstract To reduce the computational burden of the bilinear FLANN (BFLANN) filter for active noise control (ANC), an M-max partial update leaky bilinear filtered-error least mean square (MmLBFE-LMS) algorithm is proposed in this paper. Unlike… read more here.
Keywords: max partial; partial update; noise control; active noise ... See more keywords
Convergence Issues in Sequential Partial-Update LMS for Cyclostationary White Gaussian Input Signals
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3074089
Abstract: The computational complexity of adaptive filtering algorithms increases with the number of filter coefficients. In applications where a long adaptive filter is required, the complexity can become prohibitively large due to scarce digital signal processing… read more here.
Keywords: convergence issues; partial update; convergence; input signals ... See more keywords