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Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system

机译：基于主成分分析（PCA）压缩传感毫米波成像系统

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Compressive sensing is a novel sampling/sensing paradigm that enables significant sampling and computation cost reduction for signals with sparse or compressible representation. With compressive sensing technique, the number of measurements needed for accomplishing a specific task can be greatly reduced compared to traditional methods when the signal is sparse in certain basis. The fundamental idea behind compressive sensing is that rather than sampling at high rate first and then compressing the sampled data, it would be much better to directly sample the data in a compressed format.

机译：压缩检测是一种新型采样/感测范式，可以实现具有稀疏或可压缩表示的信号的显着采样和计算成本。利用压缩检测技术，与传统方法在某一基础上稀疏时，可以大大减少完成特定任务所需的测量数。压缩传感背后的基本思想是，而不是在高速速率上采样，然后压缩采样的数据，直接以压缩格式直接对数据进行采样会好得多。

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《USNC-URSI Radio Science Meeting》|2015年||共1页
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Liang Min; Li Ying; Neifeld Mark A.; Xin Hao;
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8. Pennsylvania-Princeton Army Avionics Research Program. Millimeter Wave Image Conversion Task. Mathematical Analysis and Evaluation of Millimeter Wave Image Conversion Systems. [R] . Jastrzembski, J. S., Bordogna, J., Farhat, N. H. 1971

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Principal Component Analysis (PCA) based compressive sensing millimeter wave imaging system

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