학술논문

Robust detection of signal classes
Document Type
Conference
Source
1995 International Conference on Acoustics, Speech, and Signal Processing Acoustics, speech and signal processing Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on. 5:3131-3134 vol.5 1995
Subject
Signal Processing and Analysis
Components, Circuits, Devices and Systems
Robustness
Signal detection
Time frequency analysis
Statistical distributions
Signal processing
Matched filters
Signal analysis
Detection algorithms
Speech analysis
Filtering
Language
ISSN
1520-6149
Abstract
This paper proposes a robust detection statistic for signals whose parameters are uncertain. Standard detection schemes generally use time domain correlation which can be related to correlation based on the Wigner-Ville distribution by Moyal's identity. This paper shows that a more robust detection statistic is achieved by using generalised patterns in time-frequency space and deriving a non-linear time domain correlation. The performance of the robust detection statistic is evaluated with the aid of receiver operating curves, two robust detection examples are given.