Block Component Analysis, a New Concept for Blind Source Separation
نویسنده
چکیده
منابع مشابه
Calculation of Leakage in Water Supply Network Based on Blind Source Separation Theory
The economic and environmental losses due to serious leakage in the urban water supply network have increased the effort to control the water leakage. However, current methods for leakage estimation are inaccurate leading to the development of ineffective leakage controls. Therefore, this study proposes a method based on the blind source separation theory (BSS) to calculate the leakage of water...
متن کاملSpeech Enhancement in a Noisy Car Environment
We present a new speech enhancement method for robust speech recognition in a noisy car environment. The method is based on the combination of two important building blocks, namely blind source separation given two microphone signals and speech denoising using a hybrid Wavelet Independent Component Analysis (ICA) filterbank. The first block separates point sources such as the passenger’s voice ...
متن کاملOutput-only modal analysis using blind source separation techniques
The present study carries out output-only modal analysis using two blind source separation (BSS) techniques, namely independent component analysis and second-order blind identification. The concept of virtual source is exploited and renders the application of these BSS techniques possible. The proposed modal analysis method is illustrated using numerical and experimental examples. r 2007 Elsevi...
متن کاملIndustrial applications of extended output-only Blind Source Separation techniques
In the field of structural health monitoring or machine condition monitoring, most vibration based methods reported in the literature require to measure responses at several locations on the structure. In machine condition monitoring, the number of available vibration sensors is often small and it is not unusual that only one single sensor is used to monitor a machine. This paper presents indus...
متن کاملTensor Decompositions: A New Concept in Brain Data Analysis?
Matrix factorizations and their extensions to tensor factorizations and decompositions have become prominent techniques for linear and multilinear blind source separation (BSS), especially multiway Independent Component Analysis (ICA), Nonnegative Matrix and Tensor Factorization (NMF/NTF), Smooth Component Analysis (SmoCA) and Sparse Component Analysis (SCA). Moreover, tensor decompositions hav...
متن کامل