LAUSR

Bias-compensated Adaptive Filter Algorithm under Minimum Error Entropy Criterion

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0 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

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1 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 Diffusion Pseudolinear Kalman Filter Algorithm for Censored Bearings-Only Target Tracking

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0 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

Bias-Compensated Sparsity-Aware NLMM Algorithms for Robust Adaptive Echo Cancellation

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0 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

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2 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