Revistas
Artículos
Publicaciones
Documentos
REVISTA
JOURNAL OF VIBRATION AND CONTROL
TODAS
Redirigiendo al acceso original de articulo en
17
segundos...
Inicio
/
JOURNAL OF VIBRATION AND CONTROL
/
Vol: 12 Núm: 4 Par: 0 (2006)
/
Artículo
ARTÍCULO
TITULO
Blind Source Separation and Blind Equalization Algorithms for Mechanical Signal Separation and Identification
Peter W. Tse
J. Y. Zhang
and X. J. Wang
Resumen
No disponible
PÁGINAS
pp. 395 - 423
NÚMERO
Volumen: 12 Número: 4 Parte: 0 (2006)
MATERIAS
INGENIERÍA Y CONSTRUCCIÓN CIVIL
REVISTAS SIMILARES
Applied Sciences
Acoustics
Algorithms
Artículos similares
Time-Domain Output Data Identification Model for Pipeline Flaw Detection Using Blind Source Separation Technique Complexity Pursuit
Acceso
Zia Ullah, Xinhua Wang, Yingchun Chen, Tao Zhang, Haiyang Ju and Yizhen Zhao
Vital defect information present in the magnetic field data of oil and gas pipelines can be perceived by developing such non-parametric algorithms that can extract modal features and performs structural assessment directly from the recorded signal data. ...
ver más
Revista:
Acoustics
An Expectation?Maximization-Based IVA Algorithm for Speech Source Separation Using Student?s t Mixture Model Based Source Priors
Acceso
Waqas Rafique, Jonathon Chambers and Ali Imam Sunny
The performance of the independent vector analysis (IVA) algorithm depends on the choice of the source prior to better model the speech signals as it employs a multivariate source prior to retain the dependency between frequency bins of each source. Iden...
ver más
Revista:
Acoustics
Multiple Speech Source Separation Using Inter-Channel Correlation and Relaxed Sparsity
Acceso
Maoshen Jia, Jundai Sun and Xiguang Zheng
In this work, a multiple speech source separation method using inter-channel correlation and relaxed sparsity is proposed. A B-format microphone with four spatially located channels is adopted due to the size of the microphone array to preserve the spati...
ver más
Revista:
Applied Sciences
Research on the Blind Source Separation Method Based on Regenerated Phase-Shifted Sinusoid-Assisted EMD and Its Application in Diagnosing Rolling-Bearing Faults
Acceso
Cancan Yi, Yong Lv, Han Xiao, Guanghui You and Zhang Dang
To improve the performance of single-channel, multi-fault blind source separation (BSS), a novel method based on regenerated phase-shifted sinusoid-assisted empirical mode decomposition (RPSEMD) is proposed in this paper. The RPSEMD method is used to dec...
ver más
Revista:
Applied Sciences
Improved Tensor-Based Singular Spectrum Analysis Based on Single Channel Blind Source Separation Algorithm and Its Application to Fault Diagnosis
Acceso
Dan Yang, Cancan Yi, Zengbin Xu, Yi Zhang, Mao Ge and Changming Liu
To solve the problem of multi-fault blind source separation (BSS) in the case that the observed signals are under-determined, a novel approach for single channel blind source separation (SCBSS) based on the improved tensor-based singular spectrum analysi...
ver más
Revista:
Applied Sciences
Revistas destacadas
Infrastructures
Informed Infraestructure
BiT
Revista de la Construcción
Ver todas las revistas