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In beamforming, maximum likelihood estimation is used to estimate the covariance matrix by using the received data. In order to improve the estimation accuracy of covariance matrix and reduce noise, based on array domain, an preceding method for broadband beamforming using subband smooth is proposed which smoothes of each subband before the covariance matrix of the received data is estimated. The...
Stochastic models of nano-biomachines have been studied by 3-D reconstruction from cryo electron microscopy images in recent years. The image data is the projection of many heterogeneous instances of the object under study (e.g., a virus). Initial reconstruction algorithms require different instances of the object, while still heterogeneous, to have the same symmetry. This paper presents a maximum...
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