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关于压缩感知领域研究相对较少,但是提供的这几个材料对这方面有很详细的论述,拿出来与大家共享-Compressed sensing research in the field is relatively small, but provided few materials discussed in detail in this regard, come up with to share with you
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压缩感知理论简介,对于了解压缩感知理论初步有很大帮助-Introduction of compressed sensing theory, be of great help for understanding the compressed sensing theory preliminary
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压缩感知,先对图像进行小波变换,然后在使用压缩感知进行恢复-compressed sensing
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压缩传感MATLAB实例
非常直观而且实用-Example of Compressed Sensing on MATLAB
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SAMP.rar
function [xr iter_num] = SAMP(y, Phi, step_size, sigma);
% SAMP: Sparsity Adaptive Matching Pursuit algoritm for compressed sensing.
% For theoretical analysis, please refer to the paper :
% Thong. T. Do, Lu Gan and Trac D. Tran ,"
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压缩感知程序 压缩感知程序 -Compressed sensing program compressed sensing program compressed sensing procedure compressed sensing program
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关于近几年的关于压缩感知各个方面知识的介绍和入门知识-Knowledge of all aspects of compressed sensing in recent years, the introduction and the introduction of knowledge!!
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对压缩传感的基本理论进行介绍,并研究了其在信道估计中的应用-the introduction of compressed sensing basic theory and the research of applying it into channel estimation
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压缩传感图像。介绍了压缩感知在图像恢复处理方面的应用。-Compressed sensing image . Compressed sensing image restoration processing .
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matlab code for compressed sensing
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非常具有参考价值的文章:压缩感知技术在监控病人体域网方面的应用。-In this paper, we quantify the
potential of the emerging compressed sensing (CS) signal acquisition/
compression paradigm for low-complexity energy-efficient
ECG compression on the state-of-the-art Shimmer WBSN
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该文章利用压缩感知技术降低无线体域网的能量消耗,很新的一篇文章,很好的一个研究启示。-Low power consumption is a critical challenging problem for BAN, while there is great potential for compressed sensing in decreasing transmission data.
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压缩感知,稀疏表示采用小波基表示,压缩测量采用随机高斯矩阵,重构算法是omp重构-Compressed sensing, sparse representation using wavelet representation, compression measurements using random Gaussian matrix remodeling reconstruction algorithm is omp
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压缩感知理论在探地雷达三维成像中的应用 -Compressed sensing theory in three-dimensional ground penetrating radar imaging
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压缩感知(CS)理论是在已知信号具有稀疏性或可压缩性的条件下,对信号数据进行采集、
编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型,并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。
-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse
or compress
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用压缩感知理论对信号数据进行采集、编解码,进行数据恢复。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型.-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compressible.
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香港大学沙威教授编写的压缩感知omp算法,matlab-compressed sensing omp
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压缩感知代码 ,图像处理,重构算法,恢复-Compressed sensing code, image processing
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matlab 写的 压缩感知的程序,基于压缩感知 + bp + omp + mp 对 lena.jpg 256*256 图片进行采样和还原,仿真了还原的效果,对不同snr下的还原效果进行研究和仿真-Compressed sensing program matlab write, based on compressed sensing+ bp+ omp+ mp lena.jpg 256* 256 images on sampling and restore, restore the simulat
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经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号
频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到
的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling,
CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯
特频率的采样频率下对压缩数据的直接采集.该
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