Lossy speech compression via compressed sensing-based kalman filtering Academic Article uri icon


  • Abstract We present a new algorithm for lossy speech compression. The new algorithm is based on a simple technique for embedding a compressed sensing mechanism within a conventional Kalman filter. As such, it is capable of constructing compressed representations using significantly less samples than what is usually considered necessary.

publication date

  • June 1, 2009