Optimal Noise Enhanced Signal Detection in a Unified Framework
AbstractIn this paper, a new framework for variable detectors is formulated in order to solve different noise enhanced signal detection optimal problems, where six different disjoint sets of detector and discrete vector pairs are defined according to the two inequality-constraints on detection and false-alarm probabilities. Then theorems and algorithms constructed based on the new framework are presented to search the optimal noise enhanced solutions to maximize the relative improvements of the detection and the false-alarm probabilities, respectively. Further, the optimal noise enhanced solution of the maximum overall improvement is obtained based on the new framework and the relationship among the three maximums is presented. In addition, the sufficient conditions for improvability or non-improvability under the two certain constraints are given. Finally, numerous examples are presented to illustrate the theoretical results and the proofs of the main theorems are given in the Appendix. View Full-Text
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Yang, T.; Liu, S.; Tang, M.; Zhang, K.; Zhang, X. Optimal Noise Enhanced Signal Detection in a Unified Framework. Entropy 2016, 18, 213.
Yang T, Liu S, Tang M, Zhang K, Zhang X. Optimal Noise Enhanced Signal Detection in a Unified Framework. Entropy. 2016; 18(6):213.Chicago/Turabian Style
Yang, Ting; Liu, Shujun; Tang, Mingchun; Zhang, Kui; Zhang, Xinzheng. 2016. "Optimal Noise Enhanced Signal Detection in a Unified Framework." Entropy 18, no. 6: 213.
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