自相关函数

• We analyzed statistic characteristics of single mpeg vbr video stream and construct its traffic model , which can fit distribution function and auto - correlation function of video sequence very perfectly ; we also established aggregated mpeg vbr video stream model based on alpha - stable similarity process
  该模型能够同时拟合视频序列的边际分布函数和自相关函数（一阶和二阶统计特性） ，这是传统的网络流量模型不具备的。因此，该模型可以用于网络性能分析和视频流流量模拟。
• The autocorrelation function of the pn code is similar to that of the white noise , which has the randomicity . the pn code phase modulation fuze just works on the basis of this characteristic . the fuse , having excellent cut - off performance of the distance and strong anti - jamming capability , is one of the radio fuze of the predominant performance
  伪码引信是利用伪随机序列的自相关函数类似于白噪声相关函数的随机特性而工作的，这种引信距离截止特性好，抗干扰能力强，是一种性能优越的无线电引信。
• The work of this dissertation is focused on research of some key technics in signal design and processing of mcpc signal . the main content of the dissertation is summarized as follows : it gives a detailed description of the form of the mcpc waveform and its mathematical model , and analyses the formation and properties of phase coded sequence . it discusses the effect of signal parameters on autocorrelation , power spectra and ambiguity function in forms of single pulse and pulse train and compares different kinds of single pulse signals and pulse train signals
  本文围绕着多载波相位编码信号在信号设计与信号处理的若干关键问题进行了研究,主要做了以下工作:描述了多载波相位编码信号( multicarrierphasecoded ,简称mcpc )的信号形式,给出了其数学模型,对其中相位编码序列的构成方式与特性进行了分析;从单脉冲和脉冲串两种信号形式入手,对多载频相位编码信号的参数在自相关函数、功率谱密度和模糊方程上的影响作了详细地讨论,对不同调制方式的单脉冲和脉冲串信号进行了比较。
• This paper provides a method on texture segmentation adopted wavelet transformation of histogram for initial clustering prototype ; the ambiguity function of image is used as texture measure , then clustering prototype is constructed based on the wavelet - multi - resolution of histogram of ambiguity function , therefore we use the c - means clustering to segment the textured images ; synthesized textured images were used for testing , and the experimental results show that our method can effectively segment the images
  摘要提出了一种采用直方图小波变换获得初始聚类原型的图像纹理分割模糊算法；多纹理图像采用自相关函数作为纹理测度，再对图像自相关函数直方图作小波多分辨分析得到初始聚类原型，利用模糊c -均值聚类算法进行纹理分割；对合成纹理图像的实验结果表明了该算法的有效性。
• Time delay was chosen by using autocorrelation function method and mutual information method , while reconstruct dimension was obtained by g - p saturation correlation dimension method and false nearest neighbor percentage method . furthermore , initial neighborhood radius was computed by the estimated noise level based on the g - p saturation correlation dimension method . secondly , a noise reduction of the inflow time series was carried out by chaotic nonlinear local projection noise reduction method , and the effects on noise to chaotic characteristics and state reconstruction parameters were discussed
  采用g - p关联维法计算关联维数； rosenstein法和kantz法计算最大lyapunov指数；重构相空间的延迟时间采用了自相关函数法和互信息量法；嵌入维数采用了饱和关联维法和伪邻近点法；初始领域半径的选取采用了基于g - p关联维法的噪声水平的初始估计方法。
• ( 2 ) it explains the basic concept of time series , some kinds of the common time series models and the development characteristics of time series in detail . it analyses how to judge the model from the self - related function and the deviation related function . determining a better standard to set up models from the comparison of some kinds of fixed step time series standards , then predicts utilizing the counter function
  ( 2 )详细阐明了时间序列的基本思想、几种常见的时间序列模型以及时间序列的动态特征，分析了如何利用自相关函数和偏相关函数来对模型进行判定，通过对时间序列的几种定阶准则的比较，确定一种好的定阶准则来建立模型，从而可以利用逆函数法进行预报。
• At the doppler centroid aspect , this paper make use of maximum value method ; energy method and autocorrelation function method to estimate doppler centroid . at the doppler frequency aspect , this paper make use of image offset method ; time - frequency method ; minimum entropy and fractional fourier transformation method to estimate doppler frequency rate
  在多普勒参数估计中,采用了最大值法、能量法和自相关函数法进行多普勒中心频率估计;采用了图像偏移法、时频分析法、最小熵法和分数阶傅里叶变换法进行多普勒调频斜率估计。
• For its close relation to cryptography , coding theory and sequences , almost difference sets have attracted many scholars " attention . firstly , davis called a special kind of divisible difference set ( dds ) almost difference set . another kind of almost difference sets was defined by ding etc . for constructing binary sequence with three - level autocorrelation
  最早， davis称一类特殊的可分差集( dds )为几乎差集，而后， ding等人为构造具有优的3级自相关函数的二元序列给出了几乎差集的另一定义，并且利用分圆数构造了很多类的几乎差集。
• At the beginning of this thesis , we introduce the fundamental of the acoustics and the perceptual mechanism . next , different kinds of speech processing methods including time processing and time - frequency analysis are presented , such as short time average energy , short time cross zero analyses , short time autocorrelation function analyses and fft . at last , we focus on the sound separation , especially on single channel sound separation
  在这篇文章开始的部分,我们介绍了声学的基础知识和人类声音感知的机理;接下来,我们给出了在时域处理和频域处理语音信号的一些经典的技术,比如短时平均能量分析、短时过零分析、短时自相关函数分析、快速傅立叶变换等;本文重点从理论和实验上讨论语音分离,特别是单声道语音分离的算法及其在分离音乐鼓点中应用。
• The qualitative work including : research the phase trajectory of the system 、 poincare map 、 power spectral and auto - correlation . the quantitative work including : calculation of ratio of period 、 calculation of fractional dimension and coefficient of lyapunov , especially ratio of period and the maximum lyapunov exponent . the results show that chaos occurs in the movement of system
  定性的研究工作有：研究系统运动的相轨图、庞加莱映射图、功率谱图和自相关函数图；定量方面的研究工作有：周期比的计算、分维数的计算和lyapunov指数的计算，并着重进行了周期比和最大lyapunov指数的计算。