Gutierrez David. Performance Analysis of Reduced-Rank Beamformers for Estimating Dipole Source Signals Using EEG/MEG [Електронний ресурс] / David Gutierrez, Arye Nehorai, Aleksandar Dogandzic // IEEE Transactions on Biomedical Engineering [Електронний ресурс]. – 2006. – № 5. – Pp. 840–844
- Електронна версія (pdf / 368 Kb)
Статистика використання: Завантажень: 0
Складова документа:
IEEE Transactions on Biomedical Engineering [Електронний ресурс] : вестник ин-та радиоинженеров. № 5. 53 / IEEE Engineering in medicine and Biology Group // IEEE Transactions on Biomedical Engineering. – USA, 2006
Анотація:
We study the performance of various beamformers for estimating a current dipole source at a known location using electroencephalography (EEG) and magnetoencephalography
(MEG). We present our beamformers in the form of the generalized sidelobe canceler (GSC). Under this structure, the beamformer can be solved by finding a filter that achieves the minimum mean-squared error (MMSE) between the mainbeam response and filtered observed signal. We express the MMSE as a function of the filter’s rank and use it as a criterion to evaluate the performance of the beamformers. We do not make any assumptions on the rank of the interference-plus-noise covariance matrix. Instead, we treat it as low-rank and derive a general expression for the MMSE. We present numerical examples to compare the MSE performance of beamformers commonly studied in the
literature: principal components (PCs), cross-spectral metrics (CSMs), and eigencanceler (EIG) beamformers. Our results show that good estimates of the dipole source signa
(MEG). We present our beamformers in the form of the generalized sidelobe canceler (GSC). Under this structure, the beamformer can be solved by finding a filter that achieves the minimum mean-squared error (MMSE) between the mainbeam response and filtered observed signal. We express the MMSE as a function of the filter’s rank and use it as a criterion to evaluate the performance of the beamformers. We do not make any assumptions on the rank of the interference-plus-noise covariance matrix. Instead, we treat it as low-rank and derive a general expression for the MMSE. We present numerical examples to compare the MSE performance of beamformers commonly studied in the
literature: principal components (PCs), cross-spectral metrics (CSMs), and eigencanceler (EIG) beamformers. Our results show that good estimates of the dipole source signa