Results 181 to 190 of about 13,903 (307)

Subspace Identification of Bilinear Systems Subject to White Inputs

, 1996
In this paper, we generalize a class of existing linear subspace identification techniques to subspace identification algorithms for bilinear, discrete time, time invariant systems. A major assumption we make is that the input should be white.
Departement Elektrotechniek Esat-sista/tr -i, W. Favoreel, B. De Moor, P. Van Overschee   +3 more
core  

Multiple Transformer‐Based Models for Phase‐Sensitive Masking‐Based Single‐Channel Speech Enhancement

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Leveraging both global contextual dependencies and local temporal‐spectral patterns can further enhance speech quality and intelligibility, motivating the integration of diverse neural network structures for improved mask estimation. Furthermore, due to the limitations of existing time‐frequency phase‐aware masks, a new constrained phase ...
Matin Pashaian, Sanaz Seyedin
wiley   +1 more source

Automatic Modal Parameter Identification for Offshore Wind Turbines Using Modified Clustering-Based Methodology. [PDF]

Sensors (Basel)
Yang Y, Liang F, Zhu Q, Zhang H.
europepmc   +1 more source

An Efficient Method for Transient Temperature Calculation in Oil Natural Transformers Based on the Time‐Space Proper Orthogonal Decomposition

High Voltage, EarlyView.
ABSTRACT A reduced‐order model (ROM) for the temperature field based on time‐space proper orthogonal decomposition (POD) is presented to improve the computational efficiency of transient temperature rise in oil‐immersed power transformers with a complete oil natural convection cooling loop.
Haijuan Lan, Wenhu Tang, Zeyi Zhang, Jiahao Gong, Xiongwen Xu, Goran Strbac   +5 more
wiley   +1 more source

Recognition of Spatiotemporal Feature Images of Zero‐Sequence Voltage for Single‐Phase High‐Impedance Ground Faults Under Complex Conditions

High Voltage, EarlyView.
ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li, Yijia Cao, Chun Chen, Weiyu Wang, Yansha Li, Jinglu Li   +5 more
wiley   +1 more source

System Identification Using Subspace-Based Instrumental Variable Methods

, 1997
: Subspace-based methods for state-space system identification have lately been suggested as an alternative to more traditional techniques for multivariable system identification.
Tony Gustafsson, Gustafsson, Tony
core  

A conjecture of Warnaar-Zudilin from deformations of lie superalgebras. [PDF]

Res Math Sci
Creutzig T, Garner N.
europepmc   +1 more source

Subspace identification for structural health monitoring

, 2011
Inferring useful information from observations is what identification concerns. The primary mission of a structure health monitoring (SHM) system is to provide valuable insights into the current condition and the future behavior of a structure, through ...
Li, Zhen
core  

Renormalization techniques for inflation systems and some of their applications

Acta Crystallographica Section A, EarlyView.
In this work, renormalization methods for quantities related to the diffraction of inflation systems are surveyed.Exact renormalization techniques are important and powerful, particularly for inflation‐generated systems. We review recent results in this direction.
Michael Baake, Franz Gähler, Anna Klick, Neil Mañibo, Jan Mazáč   +4 more
wiley   +1 more source

Subspace Identification Methods Using Parsimonious Model Formulation

, 2002
Subspace identification methods (SIM) have gone through tremendous development over the last decade. The SIM algorithms are attractive not only because of its numerical simplicity and stability, but also for its state space form that is very convenient ...
Ljung, Lennart,
core