Compressed Sensing and Sparse Representation of Signals

Full Paper at IEEE Xplore

Přednášející: Petros Boufounos, Autoři: Petros Boufounos, Mitsubishi Electric Research Laboratories, United States

The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing to improve over-the-air ultrasonic sensing capabilities. We demonstrate that using an appropriate scene model it is possible to pose three-dimensional surface reconstruction of a scene as a sparse recovery problem. Using incoherent wideband ultrasound pulses it is thus possible to sense and reconstruct the scene using standard CS reconstruction algorithms. We further demonstrate that it possible to construct virtual arrays that exploit the sensors' motion. Thus we can obtain three-dimensional scene reconstruction using a linear mobile array.


Please sign in to post your comment!

  Informace o přednášce

Nahráno: 2011-05-27 14:05 - 14:25, Club B
Přidáno: 15. 6. 2011 06:56
Počet zhlédnutí: 376
Rozlišení videa: 1024x576 px, 512x288 px
Délka videa: 0:19:20