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Description: 采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号-an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech
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Size: 1024 |
Author: Haiyan Guo |
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Description: DCT压缩感知方案，采用DCT基稀疏分解原始信号，并且重构出原始信号-DCT compressed sensing scheme, using sparse decomposition of the original DCT-based signal and reconstruct the original signal
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Size: 1024 |
Author: 张健 |
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Description: matlab基于压缩感知理论的dct变换后的图像处理-compress sense
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Size: 1024 |
Author: 袁晓 |
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Description: 压缩感知matlab代码，使用FFT进行稀疏分解，OMP算法重建信号-Compressed sensing matlab code, the use of FFT for sparse decomposition, OMP algorithm for signal reconstruction
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Size: 1024 |
Author: 陈思 |
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Description: 压缩感知中常用的DCT基，用来对图像进行稀疏化处理的，可供初学者学习参考-DCT compressed sensing commonly used base for sparse image processing, for beginners to learn reference
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Size: 1024 |
Author: 大景 |
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