References
[1]. Chen R.-X., and Fan, J. (2007). Complexity reduction
for SOPC-based H.264/AVC coder via sum of absolute difference, IEEE/CIE 7 International Conference on ASIC
(ASICON), 1277-1280.
[2]. Chen, R.-X., Zhao, W., Liu, Q., and Fan, J. (2008).
Efficient H.264 architecture using modular bandwidth
th estimation, IEEE 5 International Conference on
Embedded Software and Systems (ICESS), 1204-1207.
[3]. Cochran, W.G. (1977). Sampling Techniques, 3
edition, New York: Wiley.
[4]. Fan, J., Liao, I., Tan, S., Cai, Y., and Hong, X. (2006).
Localized on-chip power delivery network optimization
th via sequence of linear programming, 7 International
Symposium on Quality Electronic Design (ISQED), 272-
277.
[5]. Fan, J., Mi, N., and Tan, S. (2006). Variational
compact modeling and simulation for linear dynamic
systems, IEEE International Behavioral Modeling and
Simulation Conference (BMAS), 17-22.
[6]. Fan, J., Mi, N., and Tan, S. (2007). Voltage drop
reduction for on-chip power delivery considering leakage
th current variations, IEEE 25 International Conference on
Computer Design (ICCD) 78-83.
[7]. Fan, J., Mi, N., Tan, S., Cai, Y., and Hong, X. (2007).
Statistical model order reduction for interconnect circuits
th considering spatial correlations, IEEE/ACM 10 Design
Automation and Test in Europe Conference (DATE), 1508-
1513.
[8]. Ghanta, P., Vrudhula, S., Panda, R., and Wang, J.
(2005). Stochastic power grid analysis considering
process variations, Design Automation and Test in Europe
(DATE), 2, 1530-1591.
[9]. Hesterberg, T.C. (1988). Advances in importance
sampling, PhD dissertation, Statistics Department,
Stanford University.
[10]. Kanj, R., Joshi, R., and Nassif, S. (2006). Mixture
importance sampling and its application to the analysis
of SRAM designs in the presence of rare failure events”,
Design Automation Conference (DAC), 69-72.
[11]. Li, H., Fan, J., Qi, Z., Tan, S., Wu, L., Cai, Y., and Hong,
X. (2006). Partitioning-based approach to fast on-chip
decap budgeting and minimization, IEEE Transactions on Computer-Aided Design of Integrated Circuits and
Systems (TCAD), 25(11), 2402-2412.
[12]. Li, M., Lu, Y., and Wee., L. (2006). Target detection
and identification with a heterogeneous sensor network
by strategic resource allocation and coordination,
th Proceedings of the 6 International Conference on ITS
Telecommunications, 992-995.
[13]. Martin, M.C., Trifonov, I., Bonabeau, E., and
Gaudiano. P. (2005). Resource allocation for a distributed
sensor network, IEEE Symposium on Swarm Intelligence,
428-431.
[14]. Mi, N., Fan, J., and Tan, S. (2006). Simulation of
power grid networks considering wires and lognormal
leakage current variations, IEEE International Behavioral
Modeling and Simulation Conference (BMAS), 73-78.
[15]. Mi, N., Fan, J., and Tan, S. (2006). Statistical analysis
of power grid networks considering lognormal leakage
th current variations with spatial correlation, IEEE 24
International Conference on Computer Design (ICCD),
56-62.
[16]. Mi, N., Yan, B., Tan, S., Fan, J., and Yu, H. (2007).
General block structure preserving reduced order
th modeling of linear dynamic circuits, 8 International
Symposium on Quality Electronic Design (ISQED), 633-
638.
[17]. Tan J., and Tong, G. (2007). Dynamic resource
allocation for target tracking in robotic sensor networks,
IEEE International Conference on Systems, Man, and
Cybernetics (SMC), 2354-2359.
[18]. Wang, J., Ghanta, P., and Vrudhula, S., (2004).
Stochastic analysis of interconnect performance in the
presence of process variations, Proceedings of the
International Conference on Computer Aided Design
(ICCAD), 880–886.
[19]. Wildstrom, J., Stone, P., Witchel, E., and Dahlin, M.
(2007). Machine learning for on-line hardware
th reconfiguration, The 20 International Joint Conference
on Artificial Intelligence, 1113–1118.
[20]. Wildstrom, J., Stone, P., Witchel, E., Mooney, R.J.,
and Dahlin, M. (2005). Towards self-configuring hardware
nd for distributed computer systems, The 2 International Conference on Autonomic Computing, 241–249.
[21]. Yuan, X., Fan, J., Liu, B., and Tan, S. (2007).
Stochastic based extended Krylov subspace method for power/ground network analysis, IEEE/CIE 7 International
Conference on ASIC (ASICON), 1100-1103.