A multiresolution generalized maximum likelihood approach for the detection of unknown transient multichannel signals in colored noise with unknown covariance

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2002, Pages

  Oweiss, Karim G ^a   Anderson, David J ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; SIGNAL TO NOISE RATIO;

MULTIRESOLUTION ANALYSIS; TRANSIENT SIGNAL DETECTION;

SIGNAL DETECTION;

EID: 19244386711     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5745278     Document Type: Conference Paper

References (14)

1. A new approach to array denoising
2. A new technique for blind source separation using subband subspace analysis in correlated multichannel signal environments
3. Performance of planar multisite microprobes in recording extracellular activity
4. Multiresolution transient detection
5. Detection and localization of multiple sources in noise with unknown covariance
6. Detection of transients in 1/f noise with the undecimated discrete wavelet transform
7. The use of the wavelet transform in the detection of an unknown transient signal
8. Improved transient detection using a wavelet-based detector with an extended translation-invariant wavelet transform
9. Performance analysis of transient detectors based on a class of linear data transforms
10. Transient signal detection using prior information in the likelihood ratio test
11. MASSIT: Multiresolution analysis of signal subspace invariance technique: A novel algorithm for blind source separation
12. Adapting to unknown smoothness via wavelet shrinkage