Design of a tap-amplitude-based block proportional adaptive filtering algorithm
Proportional-type algorithms have attracted much attention because of their fast
convergence ability for sparse system identification. To overcome the drawbacks of existing …
convergence ability for sparse system identification. To overcome the drawbacks of existing …
Frequency-domain diffusion adaptation over networks with missing input data
Recently, a modified adapt-then-combine diffusion (mATC) strategy has been developed to
handle distributed estimation problem with missing regressions (inputs). However, the …
handle distributed estimation problem with missing regressions (inputs). However, the …
Diffusion moving-average adaptation over networks
Recently, the diffusion moving-average (D-MA) scheme has been proposed as a way to
combat noisy links over adaptive networks. However, the current theoretical results focus on …
combat noisy links over adaptive networks. However, the current theoretical results focus on …
Frequency domain joint-normalized stochastic gradient projection-based algorithm for widely linear quaternion-valued adaptive filtering
The widely linear quaternion-valued least-mean-squares (WLQ-LMS) algorithm in the time
domain tends to slow down its convergence when dealing with highly correlated or non …
domain tends to slow down its convergence when dealing with highly correlated or non …
Frequency-Domain Diffusion Bias-Compensated Adaptation With Periodic Communication
When the input signal of each node is interfered by noise, the distributed frequency-domain
adaptive algorithm yields biased estimation. To eliminate the noise-induced bias with …
adaptive algorithm yields biased estimation. To eliminate the noise-induced bias with …
A multitask incremental least mean square algorithm using orthonormal codes
A new multitask incremental least mean-square (MILMS) algorithm using orthonormal codes
is developed. In the multitask topology, nodes belong to different clusters, with each cluster …
is developed. In the multitask topology, nodes belong to different clusters, with each cluster …
Frequency-Domain Distributed Multitask Learning Over Networks
Z Chen, Y Liu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Distributed multitask learning, which aims to estimate multiple parameter vectors in a
distributed and collaborative manner, has been applied to a wide range of Internet of Things …
distributed and collaborative manner, has been applied to a wide range of Internet of Things …
Optimal diffusion learning over networks—Part II: Multitask algorithms
R Merched - IEEE Open Journal of Signal Processing, 2022 - ieeexplore.ieee.org
In Part I of this presentation, we have formulated single and multitask quadratic optimization
problems, where agents are subject to quadratic, smoothing constraints over a graph. We …
problems, where agents are subject to quadratic, smoothing constraints over a graph. We …
Optimal Diffusion Learning Over Networks—Part I: Single-Task Algorithms
R Merched - IEEE Open Journal of Signal Processing, 2022 - ieeexplore.ieee.org
We revisit the theory of distributed networks of cooperative agents under a broader
perspective of diffusion adaptation, by exploiting proximity concepts. This leads to two main …
perspective of diffusion adaptation, by exploiting proximity concepts. This leads to two main …
Diffusion Partitioned-Block Frequency-Domain Adaptive Filter Over Multitask Networks
H Han, Y Peng, F Zhang, DC Le… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a generalization of the frequency-domain adaptive filter (FDAF) algorithm, partitioned-
block frequency-domain adaptive filter (PBFDAF) results in minimal signal path delay. In this …
block frequency-domain adaptive filter (PBFDAF) results in minimal signal path delay. In this …