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Description: compressive sensing
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Author: canfeng_zq |
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Description: 介绍compressive sensing的入门资料-Introduce compressive sensing data entry
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Author: 邓宸伟 |
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Description: 一个演示Compressive Sensing的Matlab程序，希望大家喜欢-Compressive Sensing a demonstration of the Matlab program, I hope you like
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Author: 邓宸伟 |
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Description: 以L1-minimization为核心的算法，近几年飞速进展，Compressive Sensing (Compressive Sampling) 已然成为数学领域和信号处理最前沿最热门的方向。最近一年多这种新形式的算法快速蔓延到模式识别界应用，论文质量高、算法效果好、而且算法一般都非常简单-To L1-minimization as the core of the algorithm, the rapid progress in recent years, Compressive Sensing (Compressive Sampling) has become the field of mathematics and signal processing the forefront of the most popular direction. Recently, more than a year this new form of pattern recognition algorithm for the rapid spread to industry applications, high-quality paper, the algorithm better, but are generally very simple algorithm
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Author: yuhua |
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Description: Orthogonal Matching Pursuit Algorithm for Compressive Sensing
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Author: zhao |
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Description: 一种最新型的压缩算法，即压缩感知（compressive sensing）的介绍文档，深入迁出，对于理解CS这一个新思想有很大的帮助-The latest model of a compression algorithm, that is, perceptual compression (compressive sensing) Introduction of the document in depth to move out, for understanding the CS has a lot of new ideas to help
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Author: kevinkou |
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Description: used to reconstruct the origernal signal from random measurement-compressive sensing reconstruction program
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Size: 1901568 |
Author: 鲁民 |
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Description: 可压缩传感(Compressive sensing)经典介绍，超越Nyquist采样频率。-Compressible sensor (Compressive sensing) introduced the classic, beyond the Nyquist sampling frequency.
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Size: 2841600 |
Author: alyan |
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Description: 混凝土的抗压强度随养护时间的延长而增加，现将一批混凝土作成12个试块，记录了养护日期x（日）及抗压强度y（kg/cm2）的数据：求型回归方程
示例方程在内-The compressive strength of concrete with curing time and increase the extension, now make a number of concrete block 12, recording the date of the conservation of x (day) and compressive strength of y (kg/cm2) of data: the regression equation for sample-based equation, including
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Author: 马刚 |
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Description: Compressive sampling-Conventional wisdom and common practice in acquisition and reconstruction of
images from frequency data follow the basic principle of the Nyquist density sampling theory.
This principle states that to reconstruct an image, the number of Fourier samples we need to
acquire must match the desired resolution of the image, i.e. the number of pixels in the image.
This paper surveys an emerging theory which goes by the name of “compressive sampling” or
“compressed sensing,” and which says that this conventional wisdom is inaccurate. Perhaps
surprisingly, it is possible to reconstruct images or signals of scientific interest accurately and
sometimes even exactly from a number of samples which is far smaller than the desired resolution
of the image/signal, e.g. the number of pixels in the image
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Size: 112640 |
Author: yjsdqq |
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Description: An Introduction To Compressive Sampling-Conventional approaches to sampling signals or images follow Shannon’s celebrated theorem: the sampling rate must be at least twice the maximum frequency present in the signal (the so-called Nyquist rate). In fact, this
principle underlies nearly all signal acquisition protocols used in consumer
audio and visual electronics, medical imaging devices, radio receivers, and
so on. (For some signals, such as images that are not naturally bandlimited, the sampling
rate is dictated not by the Shannon theorem but by the desired temporal or spatial
resolution. However, it is common in such systems to use an antialiasing low-pass filter
to bandlimit the signal before sampling, and so the Shannon theorem plays an implicit
role.) In the field of data conversion, for example, standard analog-to-digital converter
(ADC) technology implements the usual quantized Shannon representation: the signal is
uniformly sampled at or above the Nyquist rate
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Author: yjsdqq |
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Description: FAST COMPRESSIVE SAMPLING WITH STRUCTURALLY RANDOM MATRICES
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Author: yjsdqq |
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Description: l1-magic Compressive Sensing 简单工具包-l1-magic Compressive Sensing
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Size: 368640 |
Author: leon.jiang |
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Description: Calderbank s recent presentation on compressive sensing
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Size: 594944 |
Author: Joey |
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Description: L1 minimization and compressive sensing
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Size: 244736 |
Author: Joey |
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Description: Romberg s compressive sensing lecture slides
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Size: 15434752 |
Author: Joey |
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Description: 递秩矩阵拟合，Matrix Completion ，Sparse Matrix Separation ，Matrix Compressive Sensing -Low-rank Matrix Fitting
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Size: 19456 |
Author: 袁鑫 |
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Description: 压缩感知简介,包括压缩感知具体实现过程，最基本的原理说明-compressive sampling
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Size: 473088 |
Author: wang |
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Description: 在这个简短的论述中,我们提供一些基于这一新理论的关键性数学见解,并解释了一些压缩采样和其他领域,如统计学、信息论、编码理论以及理论性的计算机科学之间的交互。-In this short survey, we provide some of the key mathematical insights underlying this new
theory, and explain some of the interactions between compressive sampling and other fields such
as statistics, information theory, coding theory, and theoretical computer science.
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Size: 112640 |
Author: tianjingyu |
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Description: Emamnuel J. Candès∗ 写的关于压缩感知的文章，英文版-Compressive sampling write by
Emamnuel J. Candès∗
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Size: 112640 |
Author: 杨娟 |
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