搜索结果: 1-15 共查到“数学 Reconstruction”相关记录33条 . 查询时间(0.139 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Optimization-inspired deep unfolding correction-distillation network for CS-MRI reconstruction
优化启发 CS-MRI 重建深度展开 校正-蒸馏网络
font style='font-size:12px;'>
2023/4/27
In this talk, we discuss a unifying deep unfolding multi-sampling-ratio interpretable CS-MRI framework. The combined approach offers more generalizability than the existing deep-learning-based CS-MRI ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Sequential implementation of reconstruction regression
重建回归 顺序实现 空间填充设计
font style='font-size:12px;'>
2023/4/26
We propose a sequential method for implementing reconstruction regression. With a space-filling design of a small sample size, we use GP interpolation-based reconstruction regression to build initial ...
Refining network reconstruction based on functional reliability
Directed acyclic graph Discover causes and effects Sequential structural learning
font style='font-size:12px;'>
2016/1/25
Given a target variable and observational data, we propose a sequential learning approach for discovering direct cause and effect variables of the target under the causal network frame-work. In the ap...
ELLIPTIC RECONSTRUCTION AND A POSTERIORI ERROR ESTIMATES FOR PARABOLIC PROBLEMS
A posteriori error estimators fi nite elements semidiscrete parabolic problems
font style='font-size:12px;'>
2015/12/11
It is known that the energy technique for a posteriori error analysis
of finite element discretizations of parabolic problems yields suboptimal rates
in the norm L1(0; T;L2
(Ω)): In thi...
Fast Algorithms for Signal Reconstruction without Phase
Frames mutually unbiased bases equiangular frames projective 2-designs discrete chirps
font style='font-size:12px;'>
2015/9/29
We derive fast algorithms for doing signal reconstruction without phase. This type of problem is important insignal processing, especially speech recognition technology, and has relevance for state to...
Frames for Linear Reconstruction without Phase
Frames Linear Reconstruction Phase
font style='font-size:12px;'>
2015/9/29
The objective of this paper is the linear reconstruction of a vector, up to a unimodular constant, when all phase information is lost, meaning only the magnitudes of frame coefficients are known. Reco...
A Nonlinear Reconstruction Algorithm from Absolute Value of Frame Coefficients for Low Redundancy Frames
Nonlinear Reconstruction Algorithm Absolute Value of Frame Coefficients Low Redundancy Frames
font style='font-size:12px;'>
2015/9/29
In this paper we present a signal reconstruction algorithm from absolute value of frame coefficients that requires arelatively low redundancy. The basic idea is to use a nonlinear embedding of the inp...
On Signal Reconstruction from Its Spectrogram
Signal Reconstruction Spectrogram
font style='font-size:12px;'>
2015/9/29
This paper presents a framework for discretetime signal reconstruction from absolute values of its shorttime Fourier coefficients. Our approach has two steps. In step one we reconstruct a band-diagona...
PAINLESS RECONSTRUCTION FROM MAGNITUDES OF FRAME COEFFICIENTS
PAINLESS RECONSTRUCTION FRAME COEFFICIENTS
font style='font-size:12px;'>
2015/9/29
The primary goal of this paper is to develop fast algorithms for signal reconstruction from magnitudes of frame coefficients. This problem is important to several areas of research in signal processin...
On signal reconstruction without phase
Frame Signal reconstruction Phase Speech recognition
font style='font-size:12px;'>
2015/9/29
We will construct new classes of Parseval frames for a Hilbert space which allow signal reconstruction from theabsolute value of the frame coefficients. As a consequence, signal reconstruction can be ...
Equivalence of Reconstruction from the Absolute Value of the Frame Coefficients to a Sparse Representation Problem
frames nonlinear processing sparse representation
font style='font-size:12px;'>
2015/9/29
The purpose of this note is to prove, for real frames, that signal reconstruction from the absolute value ofthe frame coefficients is equivalent to solution of a sparse signal optimization problem, na...
Painless Reconstruction from Magnitudes of Frame Coefficients
Frames Reconstruction without phase Projective 2-designs
font style='font-size:12px;'>
2015/9/29
The goal of this paper is to develop fast algorithms for signal reconstruction from magnitudes of frame coefficients.This problem is important to several areas of research in signal processing, especi...
FRAMES AND PHASELESS RECONSTRUCTION AMS SHORT COURSE:JOINT MATHEMATICS MEETINGS SAN ANTONIO,2015
FRAMES AND PHASELESS RECONSTRUCTION AMS SHORT COURSE JOINT MATHEMATICS MEETINGS SAN ANTONIO
font style='font-size:12px;'>
2015/9/29
Frame design for phaseless reconstruction is now part of the broader problem of nonlinear recon- struction and is an emerging topic in harmonic analysis. The problem of phaseless reconstruction can be...
Reconstruction for models on random graphs
Random variables algorithms the random sequence diagram
font style='font-size:12px;'>
2015/8/21
Consider a collection of random variables attached to the vertices of a graph. The reconstruction problem requires to estimate one of them given ‘far away’ observations. Several theoretical results (a...
Reconstruction and Clustering in Random Constraint Satisfaction Problems
Random quantity structure solution space threshold
font style='font-size:12px;'>
2015/8/20
Random instances of Constraint Satisfaction Problems (CSP’s) appear to be hard for all known algorithms, when the number of constraints per variable lies in a certain interval. Contributing to the gen...