An approach to a low dimensional covariance matrix for minimum variance beamforming
作者： Seyede Elham Shamsian , Sayed Mahmoud Sakhaei
DOI: 10.1109/IRANIANCEE.2014.6999841
关键词:
摘要: The beamforming techniques greatly reduce the contribution of undesired off-axis signals by applying proper delays and weights on received to an array transducer. Minimum variance adaptive method achieved a great success in improving ultrasound imaging resolution due use environmental information updating apodization for each point. In spite its high performance, computational complexity is as O(M3) where M number elements. This paper describes new approach MV cascade structure. At first stage, interference from points far main axis are strongly suppressed. second close focal point that eliminated.
06999841.pdf 参考文章(19)
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