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Spectrum of Gaussian white noise sequence and application of the statistical characteristics

Frequency signal components present. Get a test result criteria (discussed in another paper of this criteria will be used for single-frequency signal detection of the specific details) and an estimated noise power (,[link widoczny dla zalogowanych], - the methods. Because the noise power spectrum amplitude is proportional to the mean and Ⅳ,[link widoczny dla zalogowanych], and tone signal power spectrum is proportional to the peak and Ⅳ, so increasing the data length (by increasing the sampling rate or extend the observation time to achieve) can improve the detection probability. It is also a useful conclusion. (Continued from page Cool

3 Conclusion This paper gives the distribution of Chair and Varshney sensor structure, and it extended to adapt to the situation m kinds of assumptions derived sensor based on n-m-ary detection of optimal fusion rules. This from a single sensor, combined with multiple Assuming the data integration decision-making rules, to achieve the global minimum error probability. (Fund: Aviation Basic Science Foundation) References [I] LuoRC,[link widoczny dla zalogowanych], KayMGMultisensorintegrationandfusioninintelligentsygems.IEEETransactionsonSysterms,[link widoczny dla zalogowanych], ManandCybernetics.1989, 19:901 ~ 93I [2] TeanyRILSandellNR.DetectionwithdistributedS ~ lSOl'S. IEEETransactionsonAerospaceandElectronicSysterms.1981, 17:501 ~ 509 [3] Cha ~ 7_, Varshnq, Pg_OptimaJdatafusioninmultiplesca'tsordetectinsystems. IEEETransactionsonAerospaceand More generally, if through a specific transformation, to transform the signal to be detected sinusoidal signal, the additive smooth Gaussian white noise in the signal detection problem can be unified by the above methods to achieve. 6 Conclusion In conclusion: stationary Gaussian white noise sequence of discrete spectrum, discrete amplitude spectrum, the discrete power spectrum are subject to N (0, No Wink

of the Gaussian distribution, the parameter is √ Ⅳ () - / 2 of the Rayleigh distribution and the mean No Theory and Mathematical Statistics. Beijing: Higher Education Press, 1987 【2】 Wang Rongxin. Mathematical Statistics. Xi'an: Xi'an Jiaotong University Press, 1989 【3】 Zhu Hua, Huang Huining, Collisional quantum interference Mei Wenbo. random signal analysis. Beijing: Beijing University Press, 1990 【4】 Guo Dajun. Handbook of Mathematics. Jinan: Shandong Science and Technology Press, 1985Electronicsystem ~ 1986,[link widoczny dla zalogowanych],22:98-101. [4] ReibmanAR, NolteLwDesignandperformancecomparisonofdistributeddetectionnetworks.IEEETransactionsonAerospaceandElectronicSystems.1987, 23789 ~ 797 【5] DemirbasICDistributeds ~ lsordatafusionwithbinarydecisionages.IEEETransactionsonAerospaceandElectronicSystems.1989.25 :643 - 649 【6] DemirbasK.Maximumaposterioriapproachtoobjectrecognitionwithdistributedsensors.IEEETransactionsonAerospaceandElectronicSy ~ ems.1988, 24:309 ~ 313 [7] SadjadiFA.Hypothescstestinginadistributedenvironment.IEEETransactionsonAerospaceandElectronicsystems.1986.22: 134 ~ l37

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