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CTIT technical reports series
University of Twente
About: CTIT technical reports series is an academic journal. The journal publishes majorly in the area(s): National park & Population. Over the lifetime, 839 publications have been published receiving 29139 citations.
Papers published on a yearly basis
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5,359 citations
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TL;DR: In this paper, the authors describe the EM algorithm for finding the parameters of a mixture of Gaussian densities and a hidden Markov model (HMM) for both discrete and Gaussian mixture observation models.
Abstract: We describe the maximum-likelihood parameter estimation problem and how the ExpectationMaximization (EM) algorithm can be used for its solution. We first describe the abstract form of the EM algorithm as it is often given in the literature. We then develop the EM parameter estimation procedure for two applications: 1) finding the parameters of a mixture of Gaussian densities, and 2) finding the parameters of a hidden Markov model (HMM) (i.e., the Baum-Welch algorithm) for both discrete and Gaussian mixture observation models. We derive the update equations in fairly explicit detail but we do not prove any convergence properties. We try to emphasize intuition rather than mathematical rigor.
2,455 citations
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TL;DR: This paper provides an overview of SIS and contains descriptions of the input specification, STG (state transition graph) manipulation, new logic optimization and verification algorithms, ASTG (asynchronous signal transition graph] manipulation, and synthesis for PGA’s (programmable gate arrays).
Abstract: SIS is an interactive tool for synthesis and optimization of sequential circuits Given a state transition table, a signal transition graph, or a logic-level description of a sequential circuit, it produces an optimized net-list in the target technology while preserving the sequential input-output behavior Many different programs and algorithms have been integrated into SIS, allowing the user to choose among a variety of techniques at each stage of the process It is built on top of MISII [5] and includes all (combinational) optimization techniques therein as well as many enhancements SIS serves as both a framework within which various algorithms can be tested and compared, and as a tool for automatic synthesis and optimization of sequential circuits This paper provides an overview of SIS The first part contains descriptions of the input specification, STG (state transition graph) manipulation, new logic optimization and verification algorithms, ASTG (asynchronous signal transition graph) manipulation, and synthesis for PGA’s (programmable gate arrays) The second part contains a tutorial example illustrating the design process using SIS
1,854 citations
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1,128 citations