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AUTOMATICA
2007
89views more  AUTOMATICA 2007»
15 years 3 months ago
Unbiased minimum-variance input and state estimation for linear discrete-time systems
This paper addresses the problem of simultaneously estimating the state and the input of a linear discrete-time system. A recursive filter, optimal in the minimum-variance unbias...
Steven Gillijns, Bart De Moor
125
Voted
AUTOMATICA
2010
73views more  AUTOMATICA 2010»
15 years 3 months ago
Realization of Boolean control networks
Based on the linear expression of the dynamics of Boolean networks, the coordinate transformation of Boolean variables is defined. It follows that the state space coordinate trans...
Daizhan Cheng, Zhi Qiang Li, Hongsheng Qi
121
Voted
TIT
2010
128views Education» more  TIT 2010»
14 years 10 months ago
General classes of performance lower bounds for parameter estimation: part II: Bayesian bounds
In this paper, a new class of Bayesian lower bounds is proposed. Derivation of the proposed class is performed via projection of each entry of the vector-function to be estimated ...
Koby Todros, Joseph Tabrikian
115
Voted
IPPS
2009
IEEE
15 years 10 months ago
A scalable auto-tuning framework for compiler optimization
We describe a scalable and general-purpose framework for auto-tuning compiler-generated code. We combine Active Harmony’s parallel search backend with the CHiLL compiler transfo...
Ananta Tiwari, Chun Chen, Jacqueline Chame, Mary W...
115
Voted
ICMCS
2006
IEEE
127views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Wavelet-Fuzzy-Stochastic Kalman Filtering for Image Compression
This paper presents a novel fuzzy stochastic Kalman filter for compression of digital images. In particular, it is shown that the state evolution of the synthesis coefficients of ...
Nastooh Avessta