4 citations · 4 across the 5 of their papers we have counts for
5 papers
Convergence Rate of Accelerated Average Consensus with Local Node Memory: Optimization and Analytic Solutions
Jing-Wen Yi, Li Chai, Jingxin Zhang
Previous researches have shown that adding local memory can accelerate the consensus. It is natural to ask questions like what is the fastest rate achievable by the -tap memory…
PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers
Shiyao Guo, Yuxia Sheng, Shenpeng Li +2
Kernelized maximum-likelihood (ML) expectation maximization (EM) methods have recently gained prominence in PET image reconstruction, outperforming many previous state-of-the-art m…
Average Consensus by Graph Filtering: New Approach, Explicit Convergence Rate and Optimal Design
Jingwen Yi, Li Chai, Jingxin Zhang
This paper revisits the problem of multi-agent consensus from a graph signal processing perspective. Describing a consensus protocol as a graph spectrum filter, we present an effec…
Sparse System Identification in Pairs of FIR and TM Bases
Dan Xiong, Li Chai, Jingxin Zhang
This paper considers the reconstruction of a sparse coefficient vector θ for a rational transfer function, under a pair of FIR and Takenaka-Malmquist (TM) bases and from a limited…
Uncertainty Principle and Sparse Reconstruction in Pairs of Orthonormal Rational Function Bases
Dan Xiong, Li Chai, Jingxin Zhang
Most rational systems can be described in terms of orthonormal basis functions. This paper considers the reconstruction of a sparse coefficient vector for a rational transfer funct…