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Displaying 1-4 out of 4 total
Fast, Accurate Static Analysis for Fixed-Point Finite-Precision Effects in DSP Designs
Computer-Aided Design, International Conference on
By Claire F. Fang, Rob A. Rutenbar, Tsuhan Chen
Issue Date:November 2003
Translating digital signal processing (DSP) software into its finite-precision hardware implementation is often a time-consuming task. We describe a new static analysis technique that can accurately analyze finite-precision effects arising from fixed-point...
Discovering Common of Structural Motifs from SSU 16 S Ribosomal RNA Secondary Structures
Bioinformatic and Bioengineering, IEEE International Symposium on
By H.-D. Huang, S.-F. Fang, J.-T. Horng, C.-Y. Kao
Issue Date:March 2001
Some structural motifs, like tetra-loops, in ribosomal RNA are known to functionally implicate in virtually every aspect of protein synthesis. Our aim in this study is to discover common structural motifs (CSMs), which are related to specific domain or fun...
Modelling Multiagent Bayesian Networks with Inclusion Dependencies
Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By C.J. Butz, F. Fang
Issue Date:September 2005
<p>Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution is defined by the conditional probability tables (CPTs) supplied by t...
Probabilistic interval-valued computation: toward a practical surrogate for statistics inside CAD tools
Found in: Proceedings of the 43rd annual conference on Design automation (DAC '06)
By Amith Singhee, Claire F. Fang, James D. Ma, Rob A. Rutenbar
Issue Date:July 2006
Interval methods offer a general, fine-grain strategy for modeling correlated range uncertainties in numerical algorithms. We present a new, improved interval algebra that extends the classical affine form to a more rigorous statistical foundation. Range u...
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