Recursive linearly constrained minimum variance estimator in linear models with non-stationary constraints
نویسندگان
چکیده
منابع مشابه
On linearly constrained minimum variance beamforming
Beamforming is a widely used technique for source localization in signal processing and neuroimaging. A number of vector-beamformers have been introduced to localize neuronal activity by using magnetoencephalography (MEG) data in the literature. However, the existing theoretical analyses on these beamformers have been limited to simple cases, where no more than two sources are allowed in the as...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2018
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2018.03.016