Phylogenetic Analysis of Phenotypic Covariance Structure. II. Reconstructing Matrix Evolution [PDF]
A modified minimum evolution approach is used to estimate covariance matrices for hypothetical ancestors. Branch lengths are calculated as the mean disparity in corresponding ancestor-descendent covariances. Branches are longest leading to terminal populations and subspecies, while interspecific branches are relatively short, indicating a general ...
openaire +2 more sources
Minimum Variance Beamforming Based on Covariance Matrix Reconstruction Using Orthogonal Vectors [PDF]
Minimum Variance Beamforming methods, have a weak performance in situation where error is available in covariance matrix estimation of noise and interference.
Saman Rezaeizadeh, Mehdi Bekrani
doaj
Robust Range Ambiguous Deceptive Target Suppression Based on Covariance Matrix Reconstruction
When the deceptive targets are in the ambiguious range bin but are received at the same range gate with the desired target by the array, the traditional multiple-input multiple-output (MIMO) radar is not able to discriminate between them.
Zhuang Xie +4 more
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Adaptive Reconstruction for Spatial Covariance Matrix in Hybrid Massive MIMO Systems
Spatial covariance matrix (SCM) plays an important role in super-resolution direction-of-arrival (DOA) estimation, which can be derived using traditional sample average approach.
Yiwei Yan, Yinsheng Liu, Hongtao Duan
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Multiple-Toeplitz Matrices Reconstruction Algorithm for DOA Estimation of Coherent Signals
In this paper, a new direction-of-arrival (DOA) estimation method based on multiple Toeplitz matrices reconstruction is proposed for coherent narrowband signals with a uniform linear array (ULA).
Wei Zhang +3 more
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The SENSE-Isomorphism Theoretical Image Voxel Estimation (SENSE-ITIVE) Model for Reconstruction and Observing Statistical Properties of Reconstruction Operators [PDF]
The acquisition of sub-sampled data from an array of receiver coils has become a common means of reducing data acquisition time in MRI. Of the various techniques used in parallel MRI, SENSitivity Encoding (SENSE) is one of the most common, making use of ...
Bruce, Iain P. +2 more
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Adaptive Beamformer in Hybrid Massive MIMO Using Reconstructed Spatial Covariance Matrix
Abstract In order to compensate for high path loss, massive multiple-input multiple-output (MIMO) has been adopted in wireless communication systems operating at millimeter-wave (mmWave) bands. In particular, analog beamformer has been employed in hybrid massive MIMO systems to reduce the cost caused by radio frequency (RF) chains. However, due
Zihao Fu +5 more
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Direction-of-Arrival Estimation in Coprime Array Using the ESPRIT-Based Method
Coprime arrays have shown potential advantages for direction-of-arrival (DOA) estimation by increasing the number of degrees-of-freedom in the difference coarray domain with fewer physical sensors.
Zhen Meng, Weidong Zhou
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Adaptive Beamforming for Passive Synthetic Aperture with Uncertain Curvilinear Trajectory
Recently, numerous reconstruction-based adaptive beamformers have been proposed, which can improve the quality of imaging or localization in the application of passive synthetic aperture (PSA) sensing.
Peng Chen, Long Zuo, Wei Wang
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The generalized Lasso with non-linear observations [PDF]
We study the problem of signal estimation from non-linear observations when the signal belongs to a low-dimensional set buried in a high-dimensional space. A rough heuristic often used in practice postulates that non-linear observations may be treated as
Plan, Yaniv, Vershynin, Roman
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