Enhanced online subspace estimation via adaptive sensing

@article{Ongie2017EnhancedOS,
  title={Enhanced online subspace estimation via adaptive sensing},
  author={Greg Ongie and D. Hong and Dejiao Zhang and L. Balzano},
  journal={2017 51st Asilomar Conference on Signals, Systems, and Computers},
  year={2017},
  pages={993-997}
}
  • Greg Ongie, D. Hong, +1 author L. Balzano
  • Published 2017
  • Computer Science
  • 2017 51st Asilomar Conference on Signals, Systems, and Computers
This work investigates the problem of adaptive measurement design for online subspace estimation from compressive linear measurements. [...] Key Method We propose an adaptive measurement scheme that biases the measurement vectors towards the current subspace estimate and prove a global convergence result for the resulting algorithm. Our experiments on synthetic data demonstrate the effectiveness of the adaptive measurement scheme over non-adaptive compressive random measurements.Expand
6 Citations
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