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ICCAD
1992
IEEE
148views Hardware» more  ICCAD 1992»
13 years 9 months ago
McPOWER: a Monte Carlo approach to power estimation
Excessive power dissipation in integrated circuits causes overheating and can lead to soft errors and or permanent damage. The severity of the problem increases in proportion to t...
Richard Burch, Farid N. Najm, Ping Yang, Timothy N...
CBMS
2006
IEEE
13 years 11 months ago
A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI
Diffusion tensor magnetic resonance imaging, which measures directional information of water diffusion in the brain, has emerged as a powerful tool for human brain studies. In thi...
Ferran Prados, Anton Bardera, Mateu Sbert, Imma Bo...
TSP
2008
178views more  TSP 2008»
13 years 4 months ago
Monte Carlo Methods for Channel, Phase Noise, and Frequency Offset Estimation With Unknown Noise Variances in OFDM Systems
In this paper, we address the problem of orthogonal frequency-division multiplexing (OFDM) channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO...
F. Septier, Yves Delignon, A. Menhaj-Rivenq, Chris...
ASPDAC
2010
ACM
165views Hardware» more  ASPDAC 2010»
13 years 2 months ago
Dynamic power estimation for deep submicron circuits with process variation
- Dynamic power consumption in CMOS circuits is usually estimated based on the number of signal transitions. However, when considering glitches, this is not accurate because narrow...
Quang Dinh, Deming Chen, Martin D. F. Wong
ICCS
2007
Springer
13 years 11 months ago
Complexity of Monte Carlo Algorithms for a Class of Integral Equations
In this work we study the computational complexity of a class of grid Monte Carlo algorithms for integral equations. The idea of the algorithms consists in an approximation of the ...
Ivan Dimov, Rayna Georgieva