Linear minimum variance filter for passive localization of moving source

Magnetic source localization via linearly constrained minimum variance spatial filtering

Spatial filtering has a long history of successful application in radar and sonar problems (e.g. [1,2]). The process of spatial filtering is also known as beamforming, since early spatial filters were designed to form pencil beams for either receiving or transmitting signals. More recently, spatial filtering has been applied to EEG and MEG [3–6, 8] to localize intracranial sources of electrical...

A Novel Frequency Domain Linearly Constrained Minimum Variance Filter for Speech Enhancement

A reliable speech enhancement method is important for speech applications as a pre-processing step to improve their overall performance. In this paper, we propose a novel frequency domain method for single channel speech enhancement. Conventional frequency domain methods usually neglect the correlation between neighboring time-frequency components of the signals. In the proposed method, we take...

A further analysis for the minimum-variance deconvolution filter performance

Chi and Mendel [I], [9] analyzed the performance of the minimum-variance deconvolution (MVD). In this correspondence, a further analysis of the performance of the MVD filter is presented. We show that the MVD filter performs like an inverse filter and a whitening filter as SNR + 00, and like a matched filter as SNR + 0. The estimation error e (k) of the MVD filter is colored noise, but it becom...

Source Localization of Brain Electrical Activity via Time-frequency Linearly Constrained Minimum Variance Method

The locations of active brain areas can be estimated from the surface recordings. We describe the localization of the sources of the brain electrical activity via spatial filtering. This method incorporates the time-frequency characteristics of the neural sources for its location. The estimation of the location of active brain area is done in non-parametric fashion. The spatial filters are impl...

Passive Source Localization of Sensor Arrays