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This paper presents a distributed architecture for asynchronously implementing a class of nonlinear signal processing systems as web services, which in turn can be used to solve a broad class of optimization problems. As opposed to requiring specialized servers, the presented architecture requires only the use of commodity database backends as a central resource, as might typically be used to serve...
In higher education circles, 2012 may be known as the "year of the MOOC"; the launch of several high-profile initiatives, both for profit (Coursera, Udacity) and not for profit (edX), created an electrified feeling in the community, with massive open online courses (MOOCs) becoming the hottest new topic in academic conversation. The sudden attention was perhaps slightly forgetful of many...
We discuss the formulation of, and stability conditions for, a set of generally asynchronous signal processing systems for solving a class of constraint satisfaction problems. Problems within this class are specifically those where a quadratic conservation principle is known to exist, as commonly occurs in stationarity conditions associated with a variety of convex and nonconvex optimization problems...
This paper proposes a systematic strategy for the automated implementation of mixed constraint- and input-output-based representations of signal processing systems. Examples of the strategy are provided in synthesizing algorithms derived from signal-flow graphs having delay-free loops, as well as in performing automated system inversion. An algorithm that follows the strategy, and which has been deployed...
This paper presents a framework for designing a class of distributed, asynchronous optimization algorithms, realized as signal processing architectures utilizing various conservation principles. The architectures are specifically based on stationarity conditions pertaining to primal and dual variables in a class of generally nonconvex optimization problems. The stationarity conditions, which are closely...
This paper provides examples of various synchronous and asynchronous signal processing systems for performing optimization, utilizing the framework and elements developed in a preceding paper. The general strategy in that paper was to perform a linear transformation of stationarity conditions applicable to a class of convex and nonconvex optimization problems, resulting in algorithms that operate...
Traffic flow instabilities have many potential negative consequences, including increased danger of collisions, higher fuel consumption, faster of abrasion of roadways, and reduction of overall traffic throughput. Instabilities occur even if modern forward-looking adaptive cruise control systems are used. In this paper, we present an architecture for controlling vehicle density that uses coordination...
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