Dukansu sigina da hayaniya a cikin sadarwa ana iya ɗaukar su azaman matakan bazuwar da suka bambanta da lokaci.
Tsarin bazuwar yana da sifofin maɓalli na bazuwar da aikin lokaci, kuma ana iya siffanta su ta fuskoki biyu daban-daban amma masu alaƙa:①tsarin bazuwar shine tarin ayyukan samfurin mara iyaka;②Tsarin bazuwar saitin masu canjin bazuwar.
Halayen ƙididdiga na tsari bazuwar ana bayyana su ta aikin rarraba shi ko aikin yuwuwar yuwuwar. Idan halayen ƙididdiga na tsari na bazuwar sun kasance masu zaman kansu daga lokacin farawa, ana kiran shi tsayayyen tsari.
Fasalolin dijital wata ƙayyadaddun hanya ce don bayyana hanyoyin bazuwar. Idan ma'anar ƙimar tsari ta kasance akai-akai kuma aikin autocorrelation R (T1, T1+ τ) = R (T), ana kiran tsarin tsarin tsari na gaba ɗaya.
Idan tsari ya tsaya tsayin daka, dole ne ya zama karko; in ba haka ba, yana iya zama ba gaskiya ba.Idan matsakaicin lokaci na tsari ya yi daidai da matsakaicin matsakaicin ƙididdiga, tsarin yana ergodic.Idan tsari ya kasance ergodic, kuma yana da kwanciyar hankali; in ba haka ba, yana iya zama ba gaskiya ba.
Ayyukan autocorrelation R (T) na tsarin tsayuwar gaba ɗaya aiki ne na bambancin lokaci R, kuma R (0) daidai yake da jimlar matsakaicin ƙarfi, wanda shine R( τ) matsakaicin ƙimar. Ƙarfin spectral density (P) ξ (f) shine aikin haɗin kai na Fourier R () (Ka'idar Wiener Minchin). Wannan nau'i-nau'i na canje-canje suna ƙayyade alaƙar musanya tsakanin lokaci da yanki na mita. Rarraba yuwuwar tsarin Gaussian yana biye da rarraba ta al'ada, kuma cikakken bayanin ƙididdiga yana buƙatar halayen lambobi kawai. Rarraba yiwuwa mai girma ɗaya kawai ya dogara ne akan ma'ana da bambance-bambance, kuma rabon yuwuwar mai girma biyu ya dogara ne akan aikin haɗin gwiwa. Tsarin Gaussian har yanzu tsari ne na Gaussian bayan canjin layi. Dangantakar da ke tsakanin aikin rarraba na yau da kullun da aikin Q (x) ko ERF (x) yana da matukar amfani wajen nazarin aikin hana amo na tsarin sadarwar dijital. Tsarin stochastic wanda yake tsaye Bayan I (T) ya wuce ta tsarin layin layi, tsarin fitar da shi ξ 0 (T) shima tsayayye ne.
Halayen ƙididdiga na kunkuntar-band bazuwar matakai da raƙuman ruwa tare da hayaniyar kunkuntar Gaussian sun fi dacewa da nazarin tsarin daidaitawa, tsarin wucewar bandeji, da hanyoyin sadarwa mara igiyar waya da ke dushewar tashoshi masu yawa. Rarraba gama gari guda uku a cikin sadarwa sune rarrabawar Rayleigh, rarraba shinkafa, da rarraba ta al'ada: ambulaf na siginar jigilar kaya tare da kunkuntar bandeji. Hayaniyar Gaussian gabaɗaya ita ce rarraba shinkafa. Lokacin da girman siginar yana da girma, yana kula da rarraba al'ada; lokacin da girman girman ke ƙarami, kusan rarraba Rayleigh ne.
Gaussian farin amo shi ne manufa model don nazarin ƙara amo na tashar, da kuma babban amo tushen a cikin sadarwa thermal amo nasa ne da irin wannan amo. Ƙimar sa a kowane lokuta daban-daban biyu ba su da alaƙa kuma masu zaman kansu na ƙididdiga. Bayan farar amo ta ratsa cikin tsarin iyaka-band, sakamakon shine amo mai iyaka. Karancin farin hayaniyar wucewa da farar hayaniyar band
Abin da ke sama shine labarin "tsarin tsarin sadarwa bazuwar" wanda Shenzhen HDV phoelectron Technology Co., Ltd ya kawo muku. fatan wannan labarin zai iya taimaka muku wajen haɓaka ilimin ku. Bayan wannan labarin idan kuna neman ingantaccen kamfanin kera kayan sadarwar fiber na gani za ku iya la'akari da sugame da mu.
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