Vibration Source Signal Identification of Structures Using ICA

Blind Source Separation Based Vibration Mode Identification

In this paper, a novel method for linear normal mode identification based on Blind Source Separation (BSS) is introduced. Modal coordinates are considered as a specific case of sources that have certain time structure. This structure can be identified by many BSS algorithms. However, algorithms based on second order statistics are particularly suited for the linear normal mode identification. T...

Vibration Signal Processing Using Matlab®

Vibration signal processing has traditionallybeen accomplishedusing analog and digital signal analysers, or by writing assembler,FortranorC compiled code. The advent of higher level interpretive based signal processing software products like MATLABhas added a new dimension to vibration signal processing. This paper will outline the applicationof MATLABto analysisof the vibrationfrom rotating ma...

Blind Source Separation Based on Fast-convergence Algorithm Using Ica and Array Signal Processing

ABSTRACT We propose a new algorithm for blind source separation (BSS), in which independent component analysis (ICA) and beamforming are combined to resolve the low-convergence problem through optimization in ICA. The proposed method consists of the following three parts: (1) frequency-domain ICA with direction-of-arrival (DOA) estimation, (2) null beamforming based on the estimated DOA, and (3...

Vibration Source Contribution Evaluation of a Thin Shell Structure Based on ICA

ICA as Pattern Recognition Technique for Gesture Identification : A Study Using Bio - Signal

In recent times there is an urgent need for a simple yet robust system to identify natural hand actions and gestures for controlling prostheses and other computer assisted devices. Surface Electromyogram (sEMG) is a non-invasive measure of the muscle activities but is not reliable because there are multiple simultaneously active muscles. This research first establishes the conditions for the ap...