We discuss the problem of processing multiposition sequential multifrequency signals in the extremely low frequencies noise. Monte Carlo studies investigated robust procedures accumulation of elements sequential multifrequency signal based on preliminary observations transformation using known weight functions Huber, Andrews, Hempel and others. In the simulation of the extremely low frequencies noise Field-Lewinstein model used - additive representation extremely low frequencies noise in the form of a Gaussian noise component and pulse components with power Laplace density. Shown that treatment of censored observations elements sequential multifrequency signal more effective than other treatments in almost all cases considered.
detection with distinguishing (classification) signals, robust processing elements of successive multifrequency signal, Fisher’s test
1. Pus' V.V. Invariantnyy priem posledovatel'nyh mnogochastotnyh signalov I // Problemy upravleniya riskami v tehnosfere. 2010. № 2 (14). S. 75-82.
2. Pus' V.V. Invariantnyy priem posledovatel'nyh mnogochastotnyh signalov II // Problemy upravleniya riskami v tehnosfere. 2010. № 3 (15). S. 73-81.
3. Kononov Yu.M., Zhamaletdinov A.A. Sistemy SNCh-radiosvyazi i monitoringa sredy: perspektivnoe napravlenie konversionnoy politiki Rossii // Informost «Radioelektronika i telekommunikacii». 2002. № 3 (21). S. 4-6.
4. Osinin V.F. Radioshumy estestvennyh istochnikov na vostoke SSSR. M.: Nauka, 1982. 161 s.
5. Remizov L.T. Estestvennye pomehi. M.: Nauka, 1985. 200 s.
6. Fluktuacii elektromagnitnogo polya Zemli v diapazone SNCh / M.S. Aleksandrov [i dr.]. M.: Nauka, 1972. 196 s.
7. Field E.C., Lewinstein M. Amplitude probability Distribution Model for VLF-ELF Atmospheric Noise // IEEE Trans.Commun. 1978. V. 18. № 1. P. 83-87.
8. Raab F.H. Processing for Throughn - the - Earth Electromagnetic Systems // IEEE Trans. Ind.Appl. 1988. V. 24. № 2. P. 212-216.
9. Metod statisticheskih ispytaniy (metod Monte-Karlo) / N.P. Buslenko [i dr.]. M.: GIFML, 1962. 332 s.
10. Bratley P., Fox B.I., Schrage L.E. A guide to simulation. 2 ed. New York, 1987. XXI+397 p.
11. L’Ecuyer P. Efficient and Portable Combined Random Number Generators // Commun. ACM. 1988. V. 31. P. 742-749, 774.
12. Knut D.E. Iskusstvo programmirovaniya dlya EVM: per. s angl.; v 3 t. M.: Mir, 1977. T. 2. 724 s.
13. Pollard Dzh. Spravochnik po vychislitel'nym metodam statistiki. M.: FiS, 1982. 344 s.
14. Box G.E., Muller. A Note on the Generation of Random Normal Deviates // Ann.Math.Statist. 1958. V. 29. P. 610-611.
15. Oden R.E., Evans J.O. Flgorithm AS70: The presentage Points of the Normal Distribution // Appl. Statist. 1974. V. 23. № 1. P. 96-97.
16. Robastnost' v statistike / F. Hampel' [i dr.]: per. s angl. M.: Mir, 1989. 512 s.
17. Ustoychivye statisticheskie metody ocenki dannyh / pod red. R.L. Lonera, G.N. Uilkinsona: per. s angl. M.: Mashinostroenie, 1984. 232 s.
18. H'yuber P. Robastnost' v statistike: per. s angl. M.: Mir, 1984. 304 s.
19. Tukey J.W., McLaughlin D.H. Less Vulnerable Confidence and Significance Procedures for Location Based on a Single Sample: Trimming / Winsorization // Sankhya. 1963. ser. A. V. 25. Part. 3. P. 331-352.
20. Clarke D.R. Empirical Evidence for Adaptive Confidence Intervals and Identification of Outliers using Methods of trimming // Austral. J. Statist. 1994. V. 36. № 1. P. 45-58.
21. Vvedenie v teoriyu veroyatnostey i ee prilozheniya: per. s angl. M.: Mir, 1964. 500 s.
22. Kendall M., St'yuart A. Statisticheskie vyvody i svyazi: per. s angl. M.: Fizmatgiz, 1973. 900 s.
23. Robust Estimates of Location / D.F. Andrews [et el.]. Princeton. New Jersy: Princeton Univ. Press, 1972.
24. Hampel F.R. The Influence Curve and its Role in Robust Estimation // J. Amer. Statist. Ass. 1974. V. 69. P. 383-393.
25. Huber P.J. Robust Estimates of a Location Parameter // Ann. Math. Statist. 1964. V. 35. P. 73-101.
26. Andrews D.F. A Robust Method for Multiple Linear Regression // Technometrics. 1974. V. 16. P. 523-531.
27. Beaton A., Tukey J.W. The Fitting of Power, Series, Meaning, Polinomials, Illustrated on Bandspectroscopic Data // Technometrics. 1974. V. 16. P. 147-185.
28. Horn P.S. Some Easy t Statistics // J. Amer. Statist. Ass. 1983. V. 78. № 384. P. 930-936.
