Wavelet is suitable to non-stationary signals processing . we applied wavelet transform to insar data processing and did following researches : 1 ) assumed the probability density function of signal and noise of real part and imaginary part of sar interferogram 本文將小波分析應(yīng)用于干涉sar數(shù)據(jù)處理,進(jìn)行了以下幾方面的研究:1)將干涉圖復(fù)數(shù)據(jù)分為實(shí)部和虛部,對(duì)實(shí)部、虛部的信號(hào)和噪聲的概率密度函數(shù)進(jìn)行假定。
In recent years various methods of estimation about probability density function of random variable sequence that is independent and identically distributed ( abbreviated as iid . ) and large sample quality have been more discussed in research documentation )序列的概率密度函數(shù)的各種估計(jì)方法及其大樣本性質(zhì)的研究文獻(xiàn)中已有很多討論,研究得最多的還是密度函數(shù)的核估計(jì),如rosenblent,parzen,prakasarao和silverman等。
On the basis of the probability density function of the disparity gradient, the mutual coordinate constraint of the corresponding points of the two adjoing points in the continous edge of the left image was educed, then the search area of the matching point in the right image was limited 由視差梯度的分布密度函數(shù),導(dǎo)出了左圖像連續(xù)邊緣上相鄰兩點(diǎn)在右圖像中的對(duì)應(yīng)點(diǎn)的坐標(biāo)間的相互約束關(guān)系,從而限定了右圖像中匹配點(diǎn)的搜索范圍。
Secondly, we numerically simulate the turbulence behavior of one-dimension fpu model and obtain probability density functions of the velocity differences in different conditions . we use tsallis statistics to fit the probability density functions and find out it was fitted very well 其次,我們對(duì)一維fpu模型中類似湍流行為進(jìn)行了數(shù)值模擬,得到不同條件下速度差的概率密度函數(shù),并利用tsallis統(tǒng)計(jì)對(duì)其進(jìn)行擬合,發(fā)現(xiàn)兩者符合得非常好。
Secondly, we numerically simulate the turbulence behavior of one-dimension fpu model and obtain probability density functions of the velocity differences in different conditions . we use tsallis statistics to fit the probability density functions and find out it was fitted very well 其次,我們對(duì)一維fpu模型中類似湍流行為進(jìn)行了數(shù)值模擬,得到不同條件下速度差的概率密度函數(shù),并利用tsallis統(tǒng)計(jì)對(duì)其進(jìn)行擬合,發(fā)現(xiàn)兩者符合得非常好。
The main achievements are as follows : it is verified that there is an unique mean square solution to the stochastic surge model; the formulas for probability density function of head loss and the maximum relative surge level were deduced; the joint probability density function for solving surge process and the mean head process of simple hydraulic system were also derived 主要研究成果有:證明了調(diào)壓室涌浪隨機(jī)模型存在唯一的均方解;推導(dǎo)出了水頭損失和最大相對(duì)涌浪值的密度函數(shù)計(jì)算公式;求解了調(diào)壓室涌浪解過程的聯(lián)合密度函數(shù)和簡(jiǎn)單水力系統(tǒng)的水頭均值過程等。
The main achievements are as follows : it is verified that there is an unique mean square solution to the stochastic surge model; the formulas for probability density function of head loss and the maximum relative surge level were deduced; the joint probability density function for solving surge process and the mean head process of simple hydraulic system were also derived 主要研究成果有:證明了調(diào)壓室涌浪隨機(jī)模型存在唯一的均方解;推導(dǎo)出了水頭損失和最大相對(duì)涌浪值的密度函數(shù)計(jì)算公式;求解了調(diào)壓室涌浪解過程的聯(lián)合密度函數(shù)和簡(jiǎn)單水力系統(tǒng)的水頭均值過程等。
We summarized the effects of time base jitter and the methods to measure the time base jitter . different methods for time base jitter compensating are analyzed and simulated . on the base of that a new method called improved probability density function method is developed to compensate time base jitter 首先,介紹了時(shí)基抖動(dòng)的概念及其影響并給出時(shí)基抖動(dòng)參數(shù)的測(cè)量方法;其次,對(duì)時(shí)基抖動(dòng)的不同補(bǔ)償方法進(jìn)行理論分析和仿真研究,在此基礎(chǔ)上提出新的時(shí)基抖動(dòng)補(bǔ)償方法??擴(kuò)展的概率密度法。
Then, base on the determine channel modeling methods, we present a frequency-selective mimo fading channel with von mises probability density function, which is used to characterize non-uniform angle-of-arrival caused by non-isotropic scattering . then we analyze partial cross correlation function of proposed model and proved the model theoretically 然后,通過對(duì)其它多入多出信道模型的分析和對(duì)比,并基于確定性信道建模方法,建立了一種通用的頻率選擇性多入多出衰落信道模型,借助“vonmises”概率密度函數(shù),以描述非均勻散射體導(dǎo)致的非均勻本地來波方向分布。