Results 71 to 80 of about 2,583,502 (287)

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

Brain Network Dynamics of Local and Global Predictive Processing in Aging

Advanced Science, EarlyView.
Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen, Gemma Fernández‐Rubio, David R. Quiroga‐Martinez, Mattia Rosso, Mathias Klarlund, Kit Melissa Larsen, Hartwig Roman Siebner, Morten L. Kringelbach, Peter Vuust, Leonardo Bonetti   +9 more
wiley   +1 more source

SUBSPACE IDENTIFICATION METHOD FOR STOCHASTIC LINEAR CONTROL SYSTEMS

Ural Mathematical Journal
Subspace identification is studied for stochastic linear control systems in state-space form. PO-MOESP (Past Outputs Multivariable Output-Error State sPace) algorithm is described, implemented and compared with other subspace identification methods and ...
Nikita M. Kharkovskii, Nikolai B. Melnikov   +1 more
doaj   +1 more source

Bilinear Subspace Identification of Induction Motor Dynamic Characteristics

, 2004
The inherent properties of the induction motor of multivariate, strong coupling and nonlinearity result that the mechanism model cannot describe motor characteristics accurately.
Yu HB(于海斌), Yuan DC(袁德成), Fan LP(樊立萍)   +2 more
core  

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

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Forecasting VARMA processes using VAR models and subspace-based state space models [PDF]

VAR modelling is a frequent technique in econometrics for linear processes. VAR modelling offers some desirable features such as relatively simple procedures for model specification (order selection) and the possibility of obtaining quick non-iterative ...
del Hoyo, Juan, Hernández, Cesáreo, Izquierdo, Segismundo S.   +2 more
core  

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Forecasting linear dynamical systems using subspace methods [PDF]

A new procedure to predict with subspace methods is presented in this paper. It is based on combining multiple forecasts obtained from setting a range of values for a specic parameter that is typically xed by the user in the subspace methods literature ...
Alfredo García-Hiernaux
core  

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source