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Escaping local optima in a class of multi-agent distributed optimization problems: a boosting function approach
(IEEE, 2014)
We address the problem of multiple local optima commonly arising in optimization problems for multi-agent systems, where objective functions are nonlinear and nonconvex. For the class of coverage control problems, we propose ...
On LDPC codes for Gaussian interference channels
(IEEE, 2014)
In this paper, we focus on the two-user Gaussian interference channel (GIC), and study the Han-Kobayashi (HK) coding/decoding strategy with the objective of designing low-density parity-check (LDPC) codes. A code optimization ...
Effects of signal randomization on performance of binary communications systems
(IEEE, 2010)
In this paper, effects of signal randomization are studied for binary communications systems. First, it is stated that the average probability of error for a power-constrained binary communications system is minimized when ...
Average fisher information optimization for quantized measurements using additive independent noise
(IEEE, 2010)
Adding noise to nonlinear systems can enhance their performance. Additive noise benefits are observed also in parameter estimation problems based on quantized observations. In this study, the purpose is to find the optimal ...
Low-order controller design for haptic systems under delayed feedback
(2012)
In this paper, we consider PD controller design for haptic systems under delayed feedback. More precisely, we present a complete stability analysis of a haptic system where local dynamics are described by some second-order ...
Chemical concentration map building through bacterial foraging optimization based search algorithm by mobile robots
(IEEE, 2010)
In this article we present implementation of Bacterial Foraging Optimization algorithm inspired search by multiple robots in an unknown area in order to find the region with highest chemical gas concentration as well as ...
A novel objective function minimization for sparse spatial filters
(IEEE, 2014)
Common spatial pattern (CSP) method is widely used in brain machine interface (BMI) applications to extract features from the multichannel neural activity through a set of spatial projections. The CSP method easily overfits ...
Optimal channel switching in the presence of stochastic signaling
(IEEE, 2013)
Optimal channel switching and detector design is studied for M-ary communication systems in the presence of stochastic signaling, which facilitates randomization of signal values transmitted for each information symbol. ...
Optimal stochastic signal design and detector randomization in the Neyman-Pearson framework
(IEEE, 2012-03)
Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector ...
A survey on optimal stochastic signaling and detector randomization
(IEEE, 2011)
In this paper, a survey on stochastic signaling and detector randomization is presented for average power-constrained binary communications systems. First, the case of a single fixed detector at the receiver is considered, ...