Results 21 to 30 of about 12,007,100 (152)

Subspace System Identification of the Kalman Filter [PDF]

Modeling, Identification and Control, 2003
Some proofs concerning a subspace identification algorithm are presented. It is proved that the Kalman filter gain and the noise innovations process can be identified directly from known input and output data without explicitly solving the Riccati ...
David Di Ruscio
doaj   +1 more source

KRYLOV SUBSPACE METHODS FOR SOLVING LARGE LYAPUNOV EQUATIONS [PDF]

, 1994
Published ...
KASENALLY, EM, JAIMOUKHA, IM
core   +1 more source

Minimum mean square distance estimation of a subspace [PDF]

, 2011
We consider the problem of subspace estimation in a Bayesian setting. Since we are operating in the Grassmann manifold, the usual approach which consists of minimizing the mean square error (MSE) between the true subspace U and its estimate U may not be ...
Jean-Yves Tourneret, Besson, Olivier, Olivier Besson, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +5 more
core   +1 more source

Multiway Filtering Based on Fourth-Order Cumulants

EURASIP Journal on Advances in Signal Processing, 2005
We propose a new multiway filtering based on fourth-order cumulants for the denoising of noisy data tensor with correlated Gaussian noise. The classical multiway filtering is based on the TUCKALS3 algorithm that computes a lower-rank tensor ...
Muti Damien, Bourennane Salah
doaj   +1 more source

GLRT-Based Direction Detectors in Homogeneous Noise and Subspace Interference [PDF]

, 2007
In this paper, we derive and assess decision schemes to discriminate, resorting to an array of sensors, between the H0 hypothesis that data under test contain disturbance only (i.e., noise plus interference) and the H1 hypothesis that they also contain ...
Ricci, Giuseppe, Besson, Olivier, BESSON O, Olivier Besson, Scharf, Louis, ORLANDO D, Danilo Orlando, Orlando, Danilo, Bandiera, Francesco, SCHARF L. L., Giuseppe Ricci, Louis L. Scharf, Francesco Bandiera   +12 more
core   +2 more sources

Subspace Methods [PDF]

, 2020
With increasingly many variables available to macroeconomic forecasters, dimension reduction methods are essential to obtain accurate forecasts. Subspace methods are a new class of dimension reduction methods that have been found to yield precise ...
Boot, Tom, Fuleky, Peter, Nibbering, Didier   +2 more
core   +2 more sources

Extended Averaged Learning Subspace Method for Hyperspectral Data Classification

Sensors, 2009
Averaged learning subspace methods (ALSM) have the advantage of being easily implemented and appear to outperform in classification problems of hyperspectral images.
Yoshifumi Yasuoka, Xiaohui Wang, Wataru Takeuchi, Yoshiki Yamagata, Hasi Bagan   +4 more
doaj   +1 more source

Detection of a signal in linear subspace with bounded mismatch [PDF]

, 2006
We consider the problem of detecting a signal of interest in a background of noise with unknown covariance matrix, taking into account a possible mismatch between the actual steering vector and the presumed one.
Besson, Olivier
core   +1 more source

Discriminative Semantic Subspace Analysis for Relevance Feedback [PDF]

, 2016
Content-based image retrieval (CBIR) has attracted much attention during the past decades for its potential practical applications to image database management. A variety of relevance feedback (RF) schemes have been designed to bridge the gap between low-
Zhang, Lining, Lining Zhang, Shao, Ling, Shum, Hubert P. H., Ling Shao, Hubert P. H. Shum, Shum, Hubert   +6 more
core   +1 more source

Subspace Methods for Multimicrophone Speech Dereverberation

EURASIP Journal on Advances in Signal Processing, 2003
A novel approach for multimicrophone speech dereverberation is presented. The method is based on the construction of the null subspace of the data matrix in the presence of colored noise, using the generalized singular-value decomposition (GSVD ...
Moonen Marc, Gannot Sharon
doaj   +1 more source