%% Papers Published
@article{fds330512,
Author = {Cheng, C and Jiang, Y and Sun, Q},
Title = {Spatially distributed sampling and reconstruction},
Journal = {Applied and Computational Harmonic Analysis},
Volume = {47},
Number = {1},
Pages = {109-148},
Publisher = {Elsevier BV},
Year = {2019},
Month = {July},
url = {http://dx.doi.org/10.1016/j.acha.2017.07.007},
Abstract = {© 2017 Elsevier Inc. A spatially distributed network
contains a large amount of agents with limited sensing, data
processing, and communication capabilities. Recent
technological advances have opened up possibilities to
deploy spatially distributed networks for signal sampling
and reconstruction. In this paper, we introduce a graph
structure for a distributed sampling and reconstruction
system by coupling agents in a spatially distributed network
with innovative positions of signals. A fundamental problem
in sampling theory is the robustness of signal
reconstruction in the presence of sampling noises. For a
distributed sampling and reconstruction system, the
robustness could be reduced to the stability of its sensing
matrix. In this paper, we split a distributed sampling and
reconstruction system into a family of overlapping smaller
subsystems, and we show that the stability of the sensing
matrix holds if and only if its quasi-restrictions to those
subsystems have uniform stability. This new stability
criterion could be pivotal for the design of a robust
distributed sampling and reconstruction system against
supplement, replacement and impairment of agents, as we only
need to check the uniform stability of affected subsystems.
In this paper, we also propose an exponentially convergent
distributed algorithm for signal reconstruction, that
provides a suboptimal approximation to the original signal
in the presence of bounded sampling noises.},
Doi = {10.1016/j.acha.2017.07.007},
Key = {fds330512}
}
@article{fds330513,
Author = {Li, L and Cheng, C and Han, D and Sun, Q and Shi, G},
Title = {Phase Retrieval From Multiple-Window Short-Time Fourier
Measurements},
Journal = {Ieee Signal Processing Letters},
Volume = {24},
Number = {4},
Pages = {372-376},
Publisher = {Institute of Electrical and Electronics Engineers
(IEEE)},
Year = {2017},
Month = {April},
url = {http://dx.doi.org/10.1109/lsp.2017.2663668},
Doi = {10.1109/lsp.2017.2663668},
Key = {fds330513}
}
@article{fds330514,
Author = {Cheng, C and Jiang, Y and Sun, Q},
Title = {Sampling and Galerkin reconstruction in reproducing kernel
spaces},
Journal = {Applied and Computational Harmonic Analysis},
Volume = {41},
Number = {2},
Pages = {638-659},
Publisher = {Elsevier BV},
Year = {2016},
Month = {September},
url = {http://dx.doi.org/10.1016/j.acha.2015.12.007},
Doi = {10.1016/j.acha.2015.12.007},
Key = {fds330514}
}
@article{fds330515,
Author = {Chen, Y and Cheng, C and Sun, Q},
Title = {Reconstruction of Sparse Wavelet Signals From Partial
Fourier Measurements},
Journal = {Ieee Signal Processing Letters},
Volume = {22},
Number = {12},
Pages = {2299-2303},
Publisher = {Institute of Electrical and Electronics Engineers
(IEEE)},
Year = {2015},
Month = {December},
url = {http://dx.doi.org/10.1109/lsp.2015.2478007},
Doi = {10.1109/lsp.2015.2478007},
Key = {fds330515}
}
|