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» Linear dynamic filtering with noisy input and output
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IPSN
2004
Springer
14 years 23 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CDC
2009
IEEE
225views Control Systems» more  CDC 2009»
14 years 3 days ago
High performance adaptive robust control for nonlinear system with unknown input backlash
—A high performance adaptive robust control (ARC) algorithm is developed for a class of nonlinear system with unknown input backlash, parametric uncertainties and uncertain nonli...
Jian Guo, Bin Yao, Qingwei Chen, Xiaobei Wu
IPPS
2005
IEEE
14 years 29 days ago
BioFilter: An Architecture for Parallel Deployment and Dynamic Chaining of Standalone Bioinformatics Tools
A large number of bioinformatics analysis tools available today are processor intensive. Keeping in mind that the amount of biological data to be analyzed is growing steadily, and...
Thomas S. Brettin, Avinash Kewalramani
TIT
2008
81views more  TIT 2008»
13 years 7 months ago
How to Filter an "Individual Sequence With Feedback"
We consider causally estimating (filtering) the components of a noise-corrupted sequence relative to a reference class of filters. The noiseless sequence to be filtered is designe...
Tsachy Weissman
DIMVA
2008
13 years 8 months ago
XSS-GUARD: Precise Dynamic Prevention of Cross-Site Scripting Attacks
Abstract. This paper focuses on defense mechanisms for cross-site scripting attacks, the top threat on web applications today. It is believed that input validation (or filtering) c...
Prithvi Bisht, V. N. Venkatakrishnan