Results 21 to 30 of about 11,070,228 (147)

Discriminative Semantic Subspace Analysis for Relevance Feedback [PDF]

open access: yes, 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   +6 more
core   +1 more source

Adaptive Subspace Method for Phase Noise Estimation in CO-OFDM Systems

open access: yesIEEE Access, 2018
In this paper, a blind phase noise estimation method for a coherent optical orthogonal frequency-division multiplexing (CO-OFDM) system is considered. Based on the subspace approach, a simple and robust method is proposed to adaptively estimate and track
Muyiwa B. Balogun   +2 more
doaj   +1 more source

Optimized Method Based on Subspace Merging for Spectral Reflectance Recovery

open access: yesSensors, 2023
The similarity between samples is an important factor for spectral reflectance recovery. The current way of selecting samples after dividing dataset does not take subspace merging into account.
Yifan Xiong, Guangyuan Wu, Xiaozhou Li
doaj   +1 more source

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

open access: yes, 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   +12 more
core   +2 more sources

Subspace Tracking Based Blind MIMO Transmit Preprocessing

open access: yes, 2007
In this contribution projection approximation subspace tracking using deflation (PASTD) is investigated in the context of MIMO transmit preprocessing systems by exploiting the specific property of Time Division Duplexing (TDD) techniques that the uplink ...
Liu, W., Yang, L.L., Hanzo, L.
core   +2 more sources

Speech Denoising in White Noise Based on Signal Subspace Low-rank Plus Sparse Decomposition

open access: yesMATEC Web of Conferences, 2017
In this paper, a new subspace speech enhancement method using low-rank and sparse decomposition is presented. In the proposed method, we firstly structure the corrupted data as a Toeplitz matrix and estimate its effective rank for the underlying human ...
yuan Shuai, Sun Cheng-li
doaj   +1 more source

Identification of tension distribution of thin plate using vibration characteristics (Applying to the under operating lines of thin aluminum plate)

open access: yesNihon Kikai Gakkai ronbunshu, 2015
The flatness of the metal thin plate shape is required in the production lines. Though, the convenient method for measuring small buckles of the thin plate has not been established. The tension distribution corresponding to the strain distribution occurs
Hirotoshi ARIHARA   +2 more
doaj   +1 more source

Robust multiview subspace clustering method based on multi-kernel low-redundancy representation learning

open access: yesTongxin xuebao, 2021
Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by ...
Ao LI   +5 more
doaj   +2 more sources

Minimum mean square distance estimation of a subspace [PDF]

open access: yes, 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   +5 more
core   +1 more source

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

open access: yes, 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

Home - About - Disclaimer - Privacy