An efficient code for environmental sound classification.
An efficient code for classifying environmental sounds is described that exploits a recent significant advance in signal processing known as compressed sensing (CS) [cf.Donoho, D. (2006). IEEE Trans. Inf. Theory 52, 1289-1306]. CS involves a novel approach to sampling in which the salient information in signals is recovered from the projection onto a small set of random basis functions. The advantage of the random basis over traditional Fourier or wavelet representations is that it allows accurate classification at low target-to-interference ratios based on few samples and little or no prior information about signals.
Arora
Raman
R
Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Wisconsin 53706, USA.
Lutfi
Robert A
RA
D003198:Computer Simulation; D004777:Environment; D005583:Fourier Analysis; D012815:Signal Processing, Computer-Assisted; D013016:Sound