An Optimum Multilayer Perceptron Neural Receiver for Signal Detection

IEEE Transactions on Neural Networks

Volumn 1, Issue 4, 1990, Pages 298-300

  Watterson, James W ^a  

^a RTI INTERNATIONAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL STATISTICS - MONTE CARLO METHODS; NOISE, SPURIOUS SIGNAL - WHITE NOISE; SIGNAL DETECTION;

PERCEPTRON;

NEURAL NETWORKS;

EID: 0025670891     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.80267     Document Type: Article

References (6)

1. M. W. Roth, “Survey of neural network technology for automatic target recognition,” IEEE Trans. Neural Networks, vol. 1, no. 1, pp. 28-43, Mar. 1990.
2. W. E. Weideman, M. T. Manry, and H. C. Yau, “A comparison of a nearest neighbor classifier and a neural network for numeric handprint character recognition,” in Proc. Int. Joint Conf. Neural Networks, 1989, pp. 117-120.
3. S. E. Decatur, “Application of neural networks to terrain classification,” in Proc. Int. Joint Conf. Neural Networks, 1989, pp. 283-288.
4. M. W. Roth, “Neural networks for extraction of weak targets in high clutter environments,” in Proc. Int. Joint Conf. Neural Networks, 1989, pp. 275-282.
5. A. Khotanzad, J. H. Lu, and M. D. Srinath, “Target detection using a neural network based passive sonar system,” in Proc. Int. Joint Conf. Neural Networks, 1989, pp. 335-340.
6. H. L. Van Trees, Detection, Estimation, and Modulation Theory ‘Part I’. New York: Wiley, 1968.