Zvose zviratidzo uye ruzha mukukurukurirana zvinogona kutorwa semaitirwo asina kujairika anosiyana nenguva.
Maitiro asina kujairika ane hunhu hwechisina kurongeka uye basa renguva, uye inogona kutsanangurwa kubva kune maviri akasiyana asi ane hukama maonero:①maitiro asina kujairika muunganidzwa wemabasa asingaverengeki emuenzaniso;②A random process is a set of random variables.
Hunhu hwechiverengero hwechinyakare chinotsanangurwa nebasa rayo rekugovera kana mukana wekuita density.Kana iyo nhamba yemaitiro echisina kurongeka akazvimirira pane nguva yekutanga, inonzi yakanyatsogadzikana maitiro.
Digital maficha ndeimwe nzira yakapfupika yekutsanangura maitiro asina kujairika.Kana iyo yepakati kukosha kweiyo maitiro inogara uye autocorrelation basa R (T1, T1+ τ) = R (T), iyo nzira inonzi generalized stationary process.
Kana nzira yakanyatsogadzikana, inofanira kunge yakagadzikana;zvikasadaro, zvingasava zvechokwadi.Kana nguva yeavhareji yemaitiro yakaenzana neavhareji yenhamba, maitiro ndeye ergodic.Kana chirongwa chiri ergodic, chinogadzikanawo;zvikasadaro, zvingasava zvechokwadi.
The autocorrelation function R (T) of generalized stationary process is an even function of the time musiyano R, uye R (0) yakaenzana neavhareji yese simba, inova R（ τ) maximum value.Power spectral density (P) ξ (f) ndiyo Fourier shanduko ye autocorrelation basa R() (Wiener Minchin theorem).Iyi mbiri yeshanduko inosarudza hukama hwekushandura pakati penguva uye frequency domains.Iyo Gaussian probability process yekugovera kunotevera kugoverwa kwakajairika, uye tsananguro yenhamba yakazara inoda chete hunhu hwayo hwenhamba.Kugovera kweimwe-dimensional mukana unongoenderana chete nepakati uye musiyano, uye maviri-dimensional mukana wekugovera zvinonyanya kuenderana nebasa rekubatanidza.Iyo Gaussian process ichiri nzira yeGaussian mushure mekushandurwa kwemutsara.Hukama huri pakati pezvakajairwa kugovera basa uye Q (x) kana ERF (x) basa rinobatsira zvakanyanya pakuongorora mashandiro ekurwisa ruzha rwemadhijitari ekutaurirana masisitimu.Iyo stochastic process iyo yakamira Mushure mekunge I (T) yapfuura nepakati peiyo linear system, maitiro ayo ekuburitsa ξ 0 (T) zvakare yakagadzikana.
Hunhu hwehuwandu hweakatetepa-bhendi zvisina tsarukano maitiro uye sine mafungu uye nhete-bhendi Gaussian ruzha rwakanyanya kukodzera kuongororwa kwemodulation masisitimu, bhendi-pass masisitimu, uye isina waya kutaurirana kunopera multipath nzira.Iwo matatu akagovaniswa akajairika mukutaurirana kugoverwa kweRayleigh, kugovera mupunga, uye kugovaniswa kwakajairika: hamvuropu ye sinusoidal inotakura chiratidzo pamwe narrowband.Ruzha rweGaussian runowanzo kugovera mupunga.Kana iyo amplitude yechiratidzo yakakura, inoenda kune yakajairika kugovera;apo amplitude idiki, inenge iri Rayleigh kugovera.
Gaussian chena ruzha ndiyo yakanakira modhi yekuongorora yekuwedzera ruzha rwechiteshi, uye iyo huru ruzha sosi mukutaurirana kwekupisa ruzha ndeyerudzi urwu rweruzha.Hunhu hwayo panguva ipi neipi mbiri dzakasiyana hadzina kubatanidzwa uye dzinozvimiririra pahuwandu.Mushure mekunge ruzha ruchena rwapfuura nepakati bhendi-limited system, mhedzisiro ibhendi-inogumira ruzha.Low pass white noise uye bandpass white noise zvakajairika mukuongorora kwe theoretical.
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Shenzhen HDV phoelectron Technology Co., Ltd. inonyanya kugadzira zvigadzirwa zvekutaurirana.Parizvino, midziyo inogadzirwa inovhara iyoONU series, Optical module series, OLT series,uyetransceiver series.Isu tinogona kupa masevhisi akagadziridzwa kune akasiyana mamiriro.Unogamuchirwaconsult.
