Detection performances of experienced human operators compared to a likelihood ratio based detector.
This paper compares the detection performances of experienced human operators and an automatic detector that is based on the generalized likelihood ratio test (GLRT). Test data consist of polynomial phase signals and additive white Gaussian noise with signal-to-noise-ratios of 18, 20, 24, and 24 dB. Test results demonstrate that, for a given human operator false alarm probability, the GLRT-based detector provided a higher probability of detecting signals than human operators.
Urazghildiiev
Ildar R
IR
Bioacoustics Research Program, Cornell Laboratory of Ornithology, Ithaca, New York, 14850-1999, USA. iru2@cornell.edu
Clark
Christopher W
CW
D000162:Acoustics / Q000295:instrumentation*; D000818:Animals; D003198:Computer Simulation; D006309:Hearing / Q000502:physiology*; D006801:Humans; D016013:Likelihood Functions; D008954:Models, Biological; D015233:Models, Statistical; D009622:Noise; D016011:Normal Distribution; D010363:Pattern Recognition, Automated; D010470:Perceptual Masking; D011336:Probability; D012815:Signal Processing, Computer-Assisted; D013018:Sound Spectrography; D014828:Vocalization, Animal