搜索结果: 1-15 共查到“理学 Compressed”相关记录31条 . 查询时间(0.062 秒)
New low power pulse compressed ionosonde at Gibilmanna Ionospheric Observatory
ionosonde automatic ionogram scaling ionospheric data vertical soundings
2015/9/10
A digital low power pulse compressed ionosonde was developed at the Istituto Nazionale di Geofisica e Vulcanologia
(INGV), Rome, Italy. The aim of this Advanced Ionospheric Sounder, AIS-INGV, is to r...
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing
Compressed sensing random sensing matrix the space coupling space coupling
2015/8/21
We study the compressed sensing reconstruction problem for a broad class of random, banddiagonal sensing matrices. This construction is inspired by the idea of spatial coupling in coding theory. As de...
Graphical Models Concepts in Compressed Sensing
Creative graphics model transfer the algorithm the compressed sensing the analysis of high-dimensional lasso risk limits
2015/8/20
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focus is on compressed se...
Compressed Representation of Kohn−Sham Orbitals via Selected Columns of the Density Matrix
Compressed Representation Kohn− Sham Orbitals Selected Columns Density Matrix
2015/7/14
Given a set of Kohn−Sham orbitals from an insulating system, we present a simple, robust, efficient, and highly parallelizable method to construct a set of optionally orthogonal, localized basis...
A Probabilistic and RIPless Theory of Compressed Sensing
Compressed sensing `1 minimization the LASSO the Dantzig selector (weak) restricted isometries random matrices sparse regression operator Bernstein inequalities Gross’ golfing scheme
2015/6/17
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a probability distribut...
Compressed sensing for practical optical imaging systems: a tutorial
a tutorial practical optical imaging systems
2014/4/16
he emerging field of compressed sensing has potentially powerful implications for the design of optical imaging devices. In particular, compressed sensing theory suggests that one can recover a scene ...
Compressed Sensing for Denoising in Adaptive System Identification
Sparse system identification compressed sensing reconstruction algorithm random filter least mean square
2012/4/23
We propose a new technique for adaptive identification of sparse systems based on the compressed sensing (CS) theory. We manipulate the transmitted pilot (input signal) and the received signal such th...
Efficient variational inference in large-scale Bayesian compressed sensing
large-scale Bayesian variational inference Computer Vision and Pattern Recognition
2011/10/9
Abstract: We study linear models under heavy-tailed priors from a probabilistic viewpoint. Instead of computing a single sparse most probable (MAP) solution as in standard deterministic approaches, th...
Unitary perturbations of compressed N-dimensional shifts
Hardy space model subspaces Aleksandrov disintegration theorem Clark’s unitary peturbations Aleksandrov-Clark measures
2011/9/14
Abstract: Given a purely contractive matrix-valued analytic function $\Theta$ on the unit disc $\bm{D}$, we study the $\mc{U} (n)$-parameter family of unitary perturbations of the operator $Z_\Theta$ ...
Atomistic Molecular Dynamics Simulations of Shock Compressed Quartz
Shock wave Molecular Dynamics BKS potential Quartz
2011/8/4
Abstract: Atomistic non-equilibrium molecular dynamics (NEMD) simulations of shock wave compression of quartz have been performed using the so-called BKS semi-empirical potential of van Beest, Kramer ...
The use of compressed air cannons in an undergraduate lab provides a way to illustrate the cooperation of diverse physics concepts, such as conservation of momentum, the work-kinetic energy theorem, e...
We present a mathematical connection between channel coding and compressed sensing.
Relations between $\beta$ and $\delta$ for QP and LP in Compressed Sensing Computations
Relations $\beta$ and $\delta$ QP LP Compressed Sensing Computations
2011/2/25
In many compressed sensing applications, linear programming (LP) has been used to reconstruct
a sparse signal.
Compressed Neighbor Discovery for Wireless Networks
Compressed Neighbor Discover Wireless Networks
2011/3/2
This paper studies the problem of neighbor discovery in wireless networks, namely, each node wishes to discovery and identify the network interface address (NIA) of those nodes within a single hop.
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Orthogonal symmetric Toeplitz matrices compressed sensing Statistical isometry property
2011/3/1
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing.