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压缩感知重建算法,利用压缩感知理论实现用较少的采样量恢复出高分辨率的图像信息-compressive sensing reconstruction algoriyhm
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利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法,具有较好的计算精度-Bayesian compressive sensing using laplace priors,with high accuracy
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xampling compressive sensing
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MWC sub nyquist sampling Compressive sensing
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Compressive sensing SuOrEM code
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CS算法OMP该进算法,对傅里叶与 的信号进行稀疏采样-Compressive Sensing OMP
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压缩传感(Compressive sensing)算法程序,采用正交匹配追踪算法(OMP),由香港大学沙威博士编写。-Compressive Sensing (Compressive sensing) algorithm, using the orthogonal matching pursuit algorithm (OMP), prepared by the University of Hong Kong, Dr. Javert.
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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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随机矩阵为小波变换的压缩传感,包含有系数采样、随机矩阵、重构算法程序-compressive sensing
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信号稀疏度检测的matlab仿真程序。该方法能够检测出宽带信号的稀疏度,保证Compressive Sensing在宽带频谱检测中的准确运用。-Signal sparsity detection matlab simulation program. The method can detect the wideband signal sparsity ensure Compressive Sensing wideband spectrum sensing in the exact use.
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基于网络摄像头的压缩感知人脸识别跟踪算法
压缩感知(Compressive Sensing)理论是近年来信号处理领域诞生的一种新的信号处理理论,由D. Donoho、E. Candes及华裔科学家T. Tao等人提出,自诞生之日起便极大地吸引了相关研究人员的关注。-Face recognition based on compressed sensing tracking algorithm
Compressive Sensing (Compressive Sensing) signal
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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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L1 minimization Program
Compressive Sensing
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Sparse in Time Program
Compressive Sensing
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Sparse in frequency
Compressive Sensing
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Code for Biginners
Compressive Sensing
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标准压缩感知(CS)理论决定了可靠的信号恢复是可能给M= O(KLOG(N / K))的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。-The standard compressive sensing (CS) theory dictates that robust signal recovery is possible from M=O(Klog(N/K))
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matlab基础,压缩感知技术重建程序,matlab程序例程-compressive sensing
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压缩感知理论,matlab例程基础,重建算法,OMP算法-compressive sensing
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认知网中协作感知程序 仿真程序 matlab-Collaborative Research Compressive Spectrum Sensing in Cognitive Radio Networks
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