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Volumn 40, Issue 1, 1994, Pages 41-55

Locally Optimum Bayes Detection in Ergodic Markov Noise

Author keywords

asymptotic optimality (AO); contiguity; ergodic Markov noise; likelihood ratio; locally asymptotically normal (LAN); Locally optimum Bayes detection

Indexed keywords

APPROXIMATION THEORY; CORRELATION THEORY; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY; SAMPLING; SIGNAL INTERFERENCE; SIGNAL PROCESSING; SPURIOUS SIGNAL NOISE; STATISTICS; WAVEFORM ANALYSIS;

EID: 0028292892     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/18.272454     Document Type: Article
Times cited : (12)

References (17)
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  • 3
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    • Optimum reception in nonGaussian electromagnetic interference environments—II: Optimum and suboptimum threshold signal detection in class A and B noise
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    • D. Middleton and A. D. Spaulding, “Optimum reception in nonGaussian electromagnetic interference environments—II: Optimum and suboptimum threshold signal detection in class A and B noise,” U.S. Dep. Commerce, Washington, D.C., NTIA Tech. Rep. 83-120, May 1983.
    • (1983) U.S. Dep. Commerce
    • Middleton, D.1    Spaulding, A.D.2
  • 8
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    • Locally optimum detection in moving average non-Gaussian noise
    • Aug.
    • A. Maras, “Locally optimum detection in moving average non-Gaussian noise’’IEEE Trans. Commun., vol. COM-36, no. 8, pp. 907-912, Aug. 1988.
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  • 9
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    • Threshold detection and estimation in correlated interference
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    • D. Middleton, “Threshold detection and estimation in correlated interference,” in Proc. 9th Int. Zurich Symp. EMC, Switzerland, Mar. 1991, pp. 7-12.
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  • 10
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    • Threshold detection in correlated generalized noise fields
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    • Locally optimum detection in multivariate non-Gaussian noise
    • Nov.
    • A. B. Martinez, P. F. Swaszek, and J. B. Thomas, “Locally optimum detection in multivariate non-Gaussian noise,” IEEE Trans. Informat. Theory, vol. IT-30, no. 6, pp. 815-822, Nov. 1984.
    • (1984) IEEE Trans. Informat. Theory , vol.IT-30 , Issue.6 , pp. 815-822
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.