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In this work, we investigate PET-image reconstruction by using optimization-based algorithms. The work is motivated by the observation that advanced algorithms may be exploited potentially for improving PET-reconstruction quality in current applications and for enabling innovative, advanced PET-scan configurations. may be used for enabling the design of innovative PET systems. Specifically, we investigate...
Optimization has been used in many areas of electrical and computer engineering. This paper presents the idea of applying an optimization based approach to solve system-level topology exploration issues in design of circuits and systems. It is found that for many classes of circuits, the topology exploration problem can be formulated as an optimization one, which can then be optimally solved. The...
Traditional system-level design of delta-sigma modulators follows a method based on linear modeling of the modulators without considering circuit-level non-idealities. In this paper, we propose to post-optimize system-level delta-sigma modulators considering circuit-level non-idealities after the traditional design. In addition, due to stochastic modeling of circuit-level non-idealities, performance...
In this paper, we present an empirical method for efficient analog design retargeting by combining design knowledge reuse and circuit synthesis. The method first decomposes the source system into circuit blocks and extracts the performance parameter specifications of each circuit block. Then, it scales each circuit block and defines a design space in the target technology. Subsequently, each circuit...
Based on some results of the fuzzy network computation and competitive analysis, the online fuzzy most reliable path problem (OFRP) is originally proposed by our team. In this paper, the preliminaries about the fuzzy most reliable path and competitive analysis are given first. Following that, the mathematical model of OFRP is established. In this realistic model, two kinds of uncertainties, namely...
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