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compressive sensing theory
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compressive sensing theory
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compressive sensing theory
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压缩采样仿真实验代码,基于空间光调制器进行-Based on the spatial light modulator sample code compression
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Sparse in Time Program
Compressive Sensing
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Code for Biginners
Compressive Sensing
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压缩感知文章初学者看看是英文的讲了一些重构算法,挺好的比较有用OMPBP-compressive sensing
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压缩感知文章初学者看看是英文的讲了一些重构算法,挺好的比较有用OMPBP-compressive sensing
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压缩感知文章初学者看看是英文的讲了一些重构算法,挺好的比较有用OMPBP-compressive sensing
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OMP是压缩感知中的一种较常用的重构算法,这里给出一个OMP的经典文章,入门用极好Signal Recovery From Random Measurements-compressive sensing
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In this paper, we propose a novel compressive
sensing (CS) based approach for sparse target counting and
positioning in wireless sensor networks. While this is not the
first work on applying CS to count and localize targets, it
is the first t
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压缩感知雷达信号处理matlab仿真实验,可对目标场景建模及回波信号处理有一个总体的认识。-A simulation for compressive sensing radar singal processing based matlab.
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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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Good compressive sensing program, using TV recovery, can be a good application in video and image.
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压缩感知理论的讲座(共8讲),很好的学习资料,含在语音、图像和雷达领域的应用示例。-The lectures regarding compressive sensing consist of 8 articles which indroduce the fundamental and applications on speech,image and radar.
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TV compressive sensing method
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Pilotless Recovery of Clipped OFDM Signals by Compressive Sensing over Reliable Data Carriers
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本文章主要是研究在压缩传感语音增强稀疏问题。一些算法以及对比。-On sparsity issues in compressive sensing based speech enhancement
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sparse_in_time Compressive Sensing
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iMAGE sTEGANOGRAPHY
Watermarking
Spread Spectrum
Compressive Technique
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