Search Results for author: Y. Zakharov

Found 4 papers, 0 papers with code

Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments

no code implementations9 Apr 2022 Y. Yu, L. Lu, Y. Zakharov, R. C. de Lamare, B. Chen

This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise.

2D Human Pose Estimation

Robust DCD-Based Recursive Adaptive Algorithms

no code implementations18 Aug 2019 Y. Yu, L. Lu, Z. Zheng, W. Wang, Y. Zakharov, R. C. de Lamare

The dichotomous coordinate descent (DCD) algorithm has been successfully used for significant reduction in the complexity of recursive least squares (RLS) algorithms.

Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks

no code implementations4 Feb 2019 Y. Yu, H. Zhao, R. C. de Lamare, Y. Zakharov, L. Lu

This work develops robust diffusion recursive least squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise.

Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents

no code implementations24 Dec 2018 Y. Yu, R. C. de Lamare, Y. Zakharov

This work develops a robust diffusion recursive least squares algorithm to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise.

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