no code implementations • 14 Jul 2022 • Stephen L. H. Lau, Edwin K. P. Chong
Single-pixel imaging (SPI) is a novel imaging technique whose working principle is based on the compressive sensing (CS) theory.
no code implementations • 6 Jan 2022 • Edwin K. P. Chong
Using this framework, we explore an important structural property of constrained LMMSE filters involving a certain prefilter.
no code implementations • 9 Jul 2020 • Christopher Robbiano, Edwin K. P. Chong, Mahmood R. Azimi-Sadjadi
This paper addresses an autonomous exploration problem in which a mobile sensor, placed in a previously unseen search area, utilizes an information-theoretic navigation cost function to dynamically select the next sensing action, i. e., location from which to take a measurement, to efficiently detect and classify objects of interest within the area.
no code implementations • 7 Jan 2020 • Stephen L. H. Lau, Edwin K. P. Chong, Xu Yang, Xin Wang
In this paper, we propose a deep learning technique based on a convolutional neural network to perform segmentation tasks on pavement crack images.
no code implementations • 18 Nov 2019 • Christopher Robbiano, Edwin K. P. Chong, Mahmood R. Azimi-Sadjadi, Louis L. Scharf, Ali Pezeshki
Occupancy grids encode for hot spots on a map that is represented by a two dimensional grid of disjoint cells.
no code implementations • 1 Oct 2019 • Yugandhar Sarkale, Saeed Nozhati, Edwin K. P. Chong, Bruce R. Ellingwood
We propose a novel decision technique that addresses the massive number of decision choices for large-scale real-world problems; in addition, our method also features an experiential learning component that adaptively determines the utilization of the computational resources based on the performance of a small number of choices.
no code implementations • 1 May 2018 • Patricia R. Barbosa, Yugandhar Sarkale, Edwin K. P. Chong, Yun Li, Sofia Suvorova, Bill Moran
We investigate the challenging problem of integrating detection, signal processing, target tracking, and adaptive waveform scheduling with lookahead in urban terrain.
Signal Processing Systems and Control
no code implementations • 7 Oct 2017 • Yijie Peng, Edwin K. P. Chong, Chun-Hung Chen, Michael C. Fu
Under a Bayesian framework, we formulate the fully sequential sampling and selection decision in statistical ranking and selection as a stochastic control problem, and derive the associated Bellman equation.
no code implementations • 19 Nov 2012 • Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki, William Moran
In the case where the flipping probabilities converge to 1/2, we derive a necessary condition on the convergence rate of the flipping probabilities such that the decisions still converge to the underlying truth.