We use the leap , linear and exponential methods to reduce the minimum contention window ( ) and the distributed inter frame space ( difs ) , so 提高優(yōu)先級的方法采用減小dcf中的和difs ,分別采用階躍的、線性的和指數(shù)的不同方法實(shí)現(xiàn)。
Based on the exponential method , hyperbolic method , gm method , the idea to select calculating model automatically in the light of least deviation is raised 提出通過對預(yù)測模型的適應(yīng)性檢驗(yàn),根據(jù)最小均方差自動選取預(yù)測模型的思想并編制程序。
Also , in our software , we have made the practical seismic data processing by the prediction of fractured amizuth and the fractured density , then evaluated the exactitude of the predictions by the evaluation of the assessment parauceter , and at last confirm one optimum detection methods of fractured amizuth , the wavelet difference scale filter method , and two the optimmer fractured density detection method , the wavelet amplititude singular exponential method and the wavelet power spectrum singular exponeatial method 并用自編軟件,將三種裂縫方位預(yù)測和三種裂縫密度預(yù)測用于實(shí)際地震資料處理,并用評價參數(shù)檢驗(yàn)評估其正確性,最終在現(xiàn)有的方法中確定了最優(yōu)裂縫方位檢測方法?小波變尺度濾波法和最優(yōu)裂縫密度檢測法?小波振幅奇異性指數(shù)法和小波功率譜奇異性指數(shù)法。