Nonparametric detection of known and random signals based on zero-crossings
| Autor: | Taejoo Chang, Hyung-Myung Kim, Jinsoo Bae, Iickho Song, Youngkwon Ryu |
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| Rok vydání: | 1996 |
| Předmět: |
Physics::Instrumentation and Detectors
Noise (signal processing) Computer science Detector Zero crossing Signal Multiplicative noise Signal-to-noise ratio Control and Systems Engineering Signal Processing Test statistic Electronic engineering High Energy Physics::Experiment Detection theory Computer Vision and Pattern Recognition Electrical and Electronic Engineering Signal transfer function Algorithm Software |
| Zdroj: | Signal Processing. 52:75-82 |
| ISSN: | 0165-1684 |
| DOI: | 10.1016/0165-1684(96)00063-1 |
| Popis: | In this paper, we consider the problem of nonparametric detection of signals in noisy observations, where zero-crossings are used to form the test statistic. We apply zero-crossings to known and random signal detection problems, and investigate the performance of detectors via computer simulation under several noise environments. In known signal detection, the zero-crossing detector shows quite good performance when the signal to noise ratio is moderate-to-high. In the correlated random signal case, the zero-crossing detector also shows quite good performance. To show this more explicitly, we compare the performance characteristics of the zero-crossing detector with those of the linear correlator and sign correlator detectors in the known signal case and with those of the correlation and sign-correlation detectors in the random signal case. Because of its simplicity and easy hardware implementation, the zero-crossing detector may be useful in many real applications at low cost. |
| Databáze: | OpenAIRE |
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