Compressive-Projection Principal Component Analysis

@article{Fowler2009CompressiveProjectionPC,
  title={Compressive-Projection Principal Component Analysis},
  author={James E. Fowler},
  journal={IEEE Transactions on Image Processing},
  year={2009},
  volume={18},
  pages={2230-2242}
}
Principal component analysis (PCA) is often central to dimensionality reduction and compression in many applications, yet its data-dependent nature as a transform computed via expensive eigendecomposition often hinders its use in severely resource-constrained settings such as satellite-borne sensors. A process is presented that effectively shifts the computational burden of PCA from the resource-constrained encoder to a presumably more capable base-station decoder. The proposed approach… CONTINUE READING
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