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

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.