NTIA Report TR-83-120
Optimum Reception in the Non-Gaussian Electromagnetic Interference Environments: II. Optimum and Suboptimum Threshold Signal Detection in Class A and B Noise
May 1983
D. Middleton, A. D. Spaulding |
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Abstract |
Keywords: threshold signal detection; optimum threshold detection algorithms; performance measures; performance comparisons; electromagnetic interference environments (EMI); suboptimum detectors; locally optimum and asymptotically optimum algorithms; Class A, B noise; correlation detectors; clipper-correlators; error probabilities; minimum detectable signals; processing gain; bias; EMI scenarios; composite threshold detection algorithms; on-off binary signal detection; non-gaussian noise and interference
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Disclaimer: Certain commercial equipment, components, and software are identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses. |