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The Locally Competitive Algorithm (LCA) is a continuous-time dynamical system designed to solve the problem of sparse approximation. This class of approximation problems plays an important role in producing state-of-the-art results in many signal processing and inverse problems, and implementing the LCA in analog VLSI may significantly improve the time and power necessary to solve these optimization...
This paper considers Bayesian quickest time change detection with phase-type distributed change and a variance stopping penalty. Using lattice programming and stochastic orders, we prove that the optimal decision policy has a threshold switching curve structure on the space of posterior distributions. We then consider example in constrained optimal social learning. Each agent is benevolent and chooses...
This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of by introducing nonparametric models based on kernel functions in order to estimate arbitrary nonlinearities without prior knowledge. In comparison to the previous work of, which also dealt with unknown nonlinearities, the new algorithm assumes the...
Broadcasting/Multicasting problems have been well studied in wireless ad hoc networks. However, only a few approaches take into account the low interference and energy efficiency as the optimization objective simultaneously. In this paper, we study the interference and power constrained broadcast/multicast and the delay-bounded interference and power constrained broadcast/multicast routing problems...
Current mode (CM) scheme provides suitable alternative for the high speed on-chip interconnect signaling. This paper presents a energy-delay optimization methodology for the current-mode (CM) signaling scheme. Optimization for the CM circuits for on-chip interconnects requires a joint optimization of driver and receiver device sizes, as their parameters which affect the energy-delay performance depend...
In this paper, we propose a cross-layer optimization approach that exploits retransmission diversity in wireless CDMA communications. Conventionally, data packets that are not correctly detected are usually dropped. These dropped packets can be used to help data packet detection. By exploiting all the retransmitted packets, data packets can be correctly detected with higher probability. The proposed...
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