Results 41 to 50 of about 97,244 (184)
The primordial curvature fluctuation spectrum is reconstructed by the cosmic inversion method using the five-year WMAP data of the cosmic microwave background temperature anisotropy. We apply the covariance matrix analysis and decompose the reconstructed
Jun’ichi Yokoyama, K. Sato, Ryo Nagata
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Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation [PDF]
Representing 3D shape deformations by linear models in high-dimensional space has many applications in computer vision and medical imaging, such as shape-based interpolation or segmentation. Commonly, using Principal Components Analysis a low-dimensional
Bernard, Florian +4 more
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Coprime array‐based robust beamforming using covariance matrix reconstruction technique [PDF]
A novel robust adaptive beamforming algorithm based on a coprime array is proposed in this study. First, the authors exploit the virtual array structure of the coprime coarray to construct two subspaces. The first subspace is obtained from the covariance matrix of the virtual uniform linear array, whereas the second one is obtained by integrating a ...
Ke Liu, Yimin D. Zhang
openaire +1 more source
Lower bounds for the minimax risk using $f$-divergences and applications
Lower bounds involving $f$-divergences between the underlying probability measures are proved for the minimax risk in estimation problems. Our proofs just use simple convexity facts.
Guntuboyina, Adityanand
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Minimum redundancy array (MRA) has the maximum aperture with continuous difference co-array among various sparse arrays with same number of physical sensors, but it is hard to calculate the sensor position of MRA and realize array design by using MRA. To
Geng Wang +4 more
doaj +1 more source
On the joint analysis of CMB temperature and lensing-reconstruction power spectra [PDF]
Gravitational lensing provides a significant source of cosmological information in modern CMB parameter analyses. It is measured in both the power spectrum and trispectrum of the temperature fluctuations.
Challinor, Anthony +3 more
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Quantum characterization of bipartite Gaussian states
Gaussian bipartite states are basic tools for the realization of quantum information protocols with continuous variables. Their complete characterization is obtained by the reconstruction of the corresponding covariance matrix.
A. Porzio +50 more
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This letter proposes a novel parallel sparse nested array and then provides a matrix reconstruction‐based method with three steps, to enhance the performance of direction of arrival (DOA) estimation in practice.
Yunlong Yang, Guojun Jiang
doaj +1 more source
The presence of mutual coupling usually causes space-time steering vector distortion for space-time adaptive processing (STAP) in airborne radar, thereby causing significant performance degradation.
Zhihui Li +4 more
doaj +1 more source
Non-Gaussian errors of baryonic acoustic oscillations
We revisit the uncertainty in baryon acoustic oscillation (BAO) forecasts and data analyses. In particular, we study how much the uncertainties on both the measured mean dilation scale and the associated error bar are affected by the non-Gaussianity of ...
Blake +44 more
core +1 more source

