Is Super-Resolution with Optical Flow Feasible?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Interpolation procedure with jitter of Gaussian process at the output of the time varying system
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Impulse-doublet sampling of random waveforms
Digital Signal Processing
The impact of quasi-equally spaced sensor topologies on signal reconstruction
ACM Transactions on Sensor Networks (TOSN)
Estimation of the distribution of randomly deployed wireless sensors
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Sampling-reconstruction procedure of Gaussian fields with jitter
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
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The purpose of this paper is to develop methods that can reconstruct a bandlimited discrete-time signal from an irregular set of samples at unknown locations. We define a solution to the problem using first a geometric and then an algebraic point of view. We find the locations of the irregular set of samples by treating the problem as a combinatorial optimization problem. We employ an exhaustive method and two descent methods: the random search and cyclic coordinate methods. The numerical simulations were made on three types of irregular sets of locations: random sets; sets with jitter around a uniform set; and periodic nonuniform sets. Furthermore, for the periodic nonuniform set of locations, we develop a fast scheme that reduces the computational complexity of the problem by exploiting the periodic nonuniform structure of the sample locations in the DFT.