Bias-compensated Adaptive Filter Algorithm under Minimum Error Entropy Criterion
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.387
Abstract: Abstract This paper proposes a bias-compensated adaptive filtering algorithm under minimum error entropy criterion, which outperforms with low steady-state misalignment for signal processing with noisy input in an environment containing impulsive output noise. In previous… read more here.
Keywords: minimum error; entropy criterion; error entropy; bias ... See more keywords
The Bias-Compensated Proportionate NLMS Algorithm With Sparse Penalty Constraint
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2962861
Abstract: For compensating the bias caused by the noisy input which is always ignored by ordinary algorithms, two novel algorithms with zero-attraction (ZA) penalties are proposed in this paper. The first one constructs a bias-compensated term… read more here.
Keywords: pnlms algorithm; bias compensated; compensated proportionate; proportionate nlms ... See more keywords
Bias-Compensated PNLMS Algorithm With Multi-Segment Function for Noisy Input
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3546064
Abstract: To address the estimation bias caused by ignoring input noise in existing adaptive filtering algorithms, a new proportionate-type algorithm is proposed in this paper. First, a bias-compensation term is derived based on an unbiased criterion… read more here.
Keywords: compensated pnlms; bias compensated; function; segment function ... See more keywords
Bias-Compensated Diffusion Pseudolinear Kalman Filter Algorithm for Censored Bearings-Only Target Tracking
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2945677
Abstract: This letter proposes a novel bias-compensated diffusion pseudolinear Kalman filter algorithm for censored bearings-only target tracking. The proposed algorithm considers two biases caused by the censored bearing angle measurements and the correlation between the measurement… read more here.
Keywords: diffusion pseudolinear; bias compensated; filter; kalman filter ... See more keywords
Compressive Diffusion Bias-Compensated Bayesian Adaptation Over Networks With Noisy Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2024.3420745
Abstract: This paper considers the scenario of noisy inputs and compressive diffusion (for reducing communication load) with noisy links over sensor networks. We first study the implementation of diffusion bias-compensated Bayesian adaptation (DBCBA) for noisy inputs,… read more here.
Keywords: adaptation; compensated bayesian; bias compensated; bayesian adaptation ... See more keywords
Bias-Compensated Sparsity-Aware NLMM Algorithms for Robust Adaptive Echo Cancellation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.2974782
Abstract: For adaptive echo cancellation in hands-free communication systems, a family of bias-compensated sparsity-aware normalized least mean M-estimate (NLMM) algorithms is proposed that are robust to both impulsive noise and noisy inputs. First, we define a… read more here.
Keywords: bias compensated; sparsity aware; adaptive echo; echo cancellation ... See more keywords
Bias-Compensated Integral Regression for Human Pose Estimation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2301.10431
Abstract: In human and hand pose estimation, heatmaps are a crucial intermediate representation for a body or hand keypoint. Two popular methods to decode the heatmap into a final joint coordinate are via an argmax, as… read more here.
Keywords: bias compensated; pose estimation; regression; compensated integral ... See more keywords