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TSP
2008
97views more  TSP 2008»
13 years 8 months ago
Risk-Sensitive Particle Filters for Mitigating Sample Impoverishment
Risk-sensitive filters (RSF) put a penalty to higher-order moments of the estimation error compared to conventional filters as the Kalman filter minimizing the mean square error. ...
Umut Orguner, Fredrik Gustafsson
AUTOMATICA
2008
107views more  AUTOMATICA 2008»
13 years 8 months ago
Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
Weihua Li, Sirish L. Shah, Deyun Xiao
ICPR
2008
IEEE
14 years 9 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ICASSP
2008
IEEE
14 years 2 months ago
Bandlimited signal reconstruction from noisy periodic nonuniform samples in time-interleaved ADCS
In this paper, we propose a time-domain method for uniform signal reconstruction from periodic nonuniform samples of a bandlimited signal when timing-skews are known. The algorith...
Vijay Divi, Gregory W. Wornell
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 1 months ago
Adaptive Sampling for Noisy Problems
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
Erick Cantú-Paz