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This paper proposes an efficient combination of state likelihood recycling and batch state likelihood calculation for accelerating acoustic likelihood calculation in an HMM-based speech recognizer. Recycling and batch calculation are each based on different technical approaches, i.e. the former is a purely algorithmic technique while the latter fully exploits PC architecture, and their good acceleration...
This paper introduces a Gaussian mixture model to represent delay and slew distributions in the statistical static timing analysis, and proposes algorithms for propagating them on a given circuit graph. The Gaussian mixture model can represent a non-Gaussian distribution due to the statistical max operation properly, and any correlation efficiently, since it consists of plural Gaussian distributions...
This paper describes the development of a low return loss mechanical splice type field installable connector while maintaining good ease of installation and performance.
Due to the progress of nanometer process technologies, variability of circuit parameters is increasing and the statistical static timing analysis (S-STA) has been studied intensively. The existing block-based S-STA algorithms assume that the distribution of delay of each circuit element does not change through the analysis. However, such a delay depends on the input-slew, and the slew to be considered...
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