Department of Mathematics
 Search | Help | Login | pdf version | printable version

Math @ Duke



Publications [#235775] of Robert Calderbank

Papers Published

  1. Chi, Y; Calderbank, R, Knowledge-enhanced matching pursuit, IEEE International Conference on Acoustics Speech and Signal Processing (October, 2013), pp. 6576-6580, ISSN 1520-6149 [doi]
    (last updated on 2017/12/14)

    Compressive Sensing is possible when the sensing matrix acts as a near isometry on signals of interest that can be sparsely or compressively represented. The attraction of greedy algorithms such as Orthogonal Matching Pursuit is their simplicity. However they fail to take advantage of both the structure of the sensing matrix and any prior information about the sparse signal. This paper introduces an oblique projector to matching pursuit algorithms to enhance detection of a component that is present in the signal by reducing interference from other candidate components based on prior information about the signal as well as the structure of the sensing matrix. Numerical examples demonstrate that performance as a function of SNR is superior to conventional matching pursuit. © 2013 IEEE.
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320