activity
20142020
most citedSpatially Distributed Sampling and Reconstruction

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

math.FA2020

Random sampling stability in weighted reproducing kernel subspaces of

Yingchun Jiang, Yajing Zhang, Wan Li

In this paper, we mainly study the random sampling stability for signals in a weighted reproducing kernel subspace of without the additional requirement that…

math.FA2020

-frames in shift-invariant subspaces of mixed Lebesgue spaces

Yingchun Jiang, Jiao Li

In this paper, we mainly discuss the -frame in shift-invariant subspace \begin{equation*} V_{p,q}(Φ)=\left\{\sum\limits_{i=1}^{r}\sum\limits_{j_{1}\in \mathbf{Z}}\sum\limits…

cs.IT2019★ 2 cited

Adaptive sampling of time-space signals in a reproducing kernel subspace of mixed Lebesgue space

Yingchun Jiang, Wenchang Sun

The Mixed Lebesgue space is a suitable tool for modelling and measuring signals living in time-space domains. And sampling in such spaces plays an important role for processing hig…

cs.IT2015★ 7 cited

Spatially Distributed Sampling and Reconstruction

Cheng Cheng, Yingchun Jiang, Qiyu Sun

A spatially distributed system contains a large amount of agents with limited sensing, data processing, and communication capabilities. Recent technological advances have opened up…

cs.IT2014★ 2 cited

Sampling and Galerkin reconstruction in reproducing kernel spaces

Cheng Cheng, Yingchun Jiang, Qiyu Sun

In this paper, we consider sampling in a reproducing kernel subspace of . We introduce a pre-reconstruction operator associated with a sampling scheme and propose a Galerkin r…