The fuzzy constant false alarm rate (CFAR) detector, which is based on the M -out-of-N binary detector, is characterized and compared with the optimal Neyman -Pearson detector. It replaces the crisp M -out-of-N binary threshold with a soft, continuous threshold, implemented as a membership function.
β¦ LIBER β¦
The analysis of intron data and their use in the detection of short signals
β Scribed by P. J. Avery
- Publisher
- Springer
- Year
- 1987
- Tongue
- English
- Weight
- 599 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0022-2844
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