Description: 压缩传感理论仿真的一个实际例子，稀疏信号的恢复。-Compressed sensing theory of simulation of a practical example of sparse signal recovery. Platform: |
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Author:tanqinlin |
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Description: 压缩传感理论的一个简单例子，首先对信号进行稀疏采样，然后利用MP算法对信号进行重建。-Compressed sensing theory of a simple example, first of all, the signal sparse sampling, and then use MP algorithm of signal reconstruction. Platform: |
Size: 1024 |
Author:汪博峰 |
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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 Platform: |
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Author:yuhua |
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Description: cs压缩传感用于信号估计和信号去噪,是一种非常有效而且相当先进的技术-cs compressed sensing for signal estimation and signal denoising is a very effective and very advanced technology Platform: |
Size: 78848 |
Author:岳杨 |
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Description: 一种基于压缩感知技术的图像重建程序，可以提高图像重建质量和速度-Compressed sensing technology based on the image reconstruction process, can improve the quality and speed of image reconstruction Platform: |
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Author:赵海生 |
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Description: 用MATLAB实现的压缩传感，外文资料，里面含有部分源代码，用MATLAB可以仿真-Compressed sensing using MATLAB implementation, foreign language data, which contains part of the source code can be simulated using MATLAB Platform: |
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Author:pepemia |
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Description: 一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Compressed sensing, referred to as CS, also known as Compressive sampling) different from the modern theory of the Nyquist sampling theorem, which states: the use of a random measurement matrix can be sparse or compressible high-dimensional signal projected to low dimensional space, and then use a small amount of projection by solving an optimization problem to be sparse with high probability to reconstruct the original signal, and prove that random projection of the original sparse signal contains enough information. Platform: |
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Author:刘奎 |
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Description: 压缩感知的发展与应用,这是目前比较热门的研究方向，在医学，图像等领域应用前景广阔。Development and application of compressed sensing-Development and application of compressed sensing, which is the more popular research in medicine, image and other promising areas of application. Development and application of compressed sensing Platform: |
Size: 372736 |
Author:彭军伟 |
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Description: 基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换-This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform to sparse the image signal and then uses the orthogonal matching pursuit algorithm for reconstruction. Platform: |
Size: 41984 |
Author:刘会影 |
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