Results 61 to 70 of about 12,007,100 (152)

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection

EURASIP Journal on Advances in Signal Processing, 2002
SIPEX-G is a fast-converging, robust, gradient-based PCA algorithm that has been recently proposed by the authors. Its superior performance in synthetic and real data compared with its benchmark counterparts makes it a viable alternative in applications
Erdogmus Deniz, Rao Yadunandana N, Hild II Kenneth E, Principe Jose C   +3 more
doaj   +1 more source

A Review of Signal Subspace Speech Enhancement and Its Application to Noise Robust Speech Recognition

EURASIP Journal on Advances in Signal Processing, 2007
The objective of this paper is threefold: (1) to provide an extensive review of signal subspace speech enhancement, (2) to derive an upper bound for the performance of these techniques, and (3) to present a comprehensive study of the potential of ...
Hugo Van hamme, Patrick Wambacq, Kris Hermus   +2 more
doaj   +1 more source

A Comparison of Johansen's, Bierens and the Subspace Algorithm Method for Cointegration Analysis [PDF]

The methods listed in the title are compared by means of a simulation study and a real world application. The aspects compared in the simulations are: The performance of the tests of the different methods for the dimension of the cointegrating space and ...
Martin Wagner
core  

Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach

Abstract and Applied Analysis, 2014
This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. As the predictor is the key element of the predictive controller, we propose to derive such predictor based on the subspace matrices which are
Xiaosuo Luo, Yongduan Song
doaj   +1 more source

Shape prior model via dual subspace segment projection learning

, 2020
BACKGROUND AND OBJECTIVE: Shape prior models play a vital role for segmentation in medical image analysis. These models are most effective when shape variations can be captured by a parametric distribution, and sufficient training data is available ...
Belous, Gregg, Busch, Andrew, Gao, Yongsheng   +2 more
core   +1 more source

Matched subspace detection with hypothesis dependent noise power [PDF]

, 2008
We consider the problem of detecting a subspace signal in white Gaussian noise when the noise power may be different under the null hypothesis—where it is assumed to be known—and the alternative hypothesis.
Cédric Richard, O. Besson, Besson, Olivier, Olivier Besson, Franois Vincent, Richard, Cédric, C. Richard, F. Vincent, Vincent, François   +8 more
core   +2 more sources

LAPACK-Based Software for Subspace Identification [PDF]

, 1996
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Varga, A., Sima, V. (1), Verhaegen, M. (2) (1) Inst. for Informatics Bucharest   +2 more
core  

Measurement-efficient quantum Krylov subspace diagonalisation [PDF]

Quantum
The Krylov subspace methods, being one category of the most important classical numerical methods for linear algebra problems, can be much more powerful when generalised to quantum computing.
Zongkang Zhang, Anbang Wang, Xiaosi Xu, Ying Li   +3 more
doaj   +1 more source

The Performance of Subspace Algorithm Cointegration Analysis: A Simulation Study [PDF]

This paper presents a simulation study that assesses the finite sample performance of the subspace algorithm cointegration analysis developed in Bauer und Wagner (2002b).
Martin Wagner, Dietmar Bauer
core  

A new SSI algorithm for LPTV systems: Application to a hinged-bladed helicopter [PDF]

, 2014
Many systems such as turbo-generators, wind turbines and helicopters show intrinsic time-periodic behaviors. Usually, these structures are considered to be faithfully modeled as linear time-invariant (LTI).
Jhinaoui, Ahmed, Morlier, Joseph, Mevel, Laurent   +2 more
core   +1 more source