Nonparametric detection of known and random signals based on zero-crossings

Cited 3 time in webofscience Cited 0 time in scopus
  • Hit : 139
  • Download : 0
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.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1996-07
Language
English
Article Type
Article
Keywords

NOISE

Citation

SIGNAL PROCESSING, v.52, no.1, pp.75 - 82

ISSN
0165-1684
DOI
10.1016/0165-1684(96)00063-1
URI
http://hdl.handle.net/10203/13033
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 3 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0