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» Parameter Estimation Using Kalman Filters with Constraints
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ICASSP
2008
IEEE
14 years 1 months ago
On nonlinear transformations of stochastic variables and its application to nonlinear filtering
A class of nonlinear transformation-based filters (NLTF) for state estimation is proposed. The nonlinear transformations that can be used include first (TT1) and second (TT2) or...
Fredrik Gustafsson, Gustaf Hendeby
AUTOMATICA
2007
97views more  AUTOMATICA 2007»
13 years 7 months ago
State estimation for linear systems with state equality constraints
This paper deals with state estimation problem for linear systems with state equality constraints. Using noisy measurements which are available from the observable system, we cons...
Sangho Ko, Robert R. Bitmead
JIRS
2006
131views more  JIRS 2006»
13 years 7 months ago
Inverse Kinematics of Human Arm Based on Multisensor Data Integration
The paper considers a technique for computation of the inverse kinematic model of the human arm. The approach is based on measurements of the hand position and orientation as well ...
Matjaz Mihelj
IJCNN
2006
IEEE
14 years 1 months ago
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
— In this paper we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noisecontamina...
Sunho Park, Seungjin Choi
ICASSP
2011
IEEE
12 years 11 months ago
Evolutive method based on a generalized eigenvalue decomposition to estimate time varying autoregressive parameters from noisy o
A great deal of interest has been paid to the estimation of time-varying autoregressive (TVAR) parameters. However, when the observations are disturbed by an additive white measur...
Hiroshi Ijima, Julien Petitjean, Eric Grivel