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功率谱估计的应用范围很广,在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法;经典谱估计是基于傅立叶变换的,虽然具有运算效率高的优点,但是频谱分辨率低同时旁瓣泄漏严重,对长序列有着良好的估计。为了克服经典谱估计的缺点,人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的,有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高,同经典谱估计互为补充。在认真学习了现 代谱估计方法后,我选择了
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ARMA 模型最大似然估计MATLAB例程,ARMA model maximum likelihood estimation
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Garch模型的最大似然估计方法,基于MATLAB程序。,Garch model of maximum likelihood estimation method, based on the MATLAB program.
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无线传感器网络中的三边定位法和极大似然估计法定位,以及二者的误差分析,Wireless sensor networks trilateral positioning method and maximum likelihood estimation positioning, and error analysis of both
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EM算法Matlab实现。最大期望(EM)算法是在概率(probabilistic)模型中寻找参数最大似然估计或者最大后验估计的算法,其中概率模型依赖于无法观测的隐藏变量(Latent Variable)-EM algorithm by Matlab. Maximum expected (EM) algorithm is probabilistic (probabilistic) model to find maximum likelihood parameter estimation or m
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This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowled
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最大似然估计算法,应用于多参数模型,例如gps领域-Maximum likelihood estimation algorithm applied to multi-parameter model, for example, the field gps
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关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模,有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples
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递推极大似然法求解系统辨识参数(matlab)-Maximum Likelihood Estimation
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利用极大似然估计算法实现瞬时频率估计,主要采用c++语言实现-with the maximum likelihood estimation ,get instant frequence,it over with C++ code
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常规DOA谱估计music算法在多径环境下失效,SVD算法利用最大特征值对应的特征矢量重新构造奇异值矩阵,可以成功估计相干信号。-Conventional music spectrum estimation algorithm for DOA in multipath environment, failure, SVD algorithm using the maximum eigenvalue of the feature vector corresponding to re-construc
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极大似然估计是概率论中的重要思想,阅读此文献可以帮助我们了解极大似然估计的含义-Maximum likelihood estimation is important in probability theory thinking, reading this literature can help us understand the meaning of maximum likelihood estimation
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模式识别实验验程序
极大似然估计和Fisher线形判别分析-Experimental test procedures for pattern recognition maximum likelihood estimation and Fisher linear discriminant analysis
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统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法,
但它是针对单传感嚣对多目标跟踪的情况下使用,不能直接用于多传感器对多目标的跟踪。针对这
一问题,文中提出了一种适用于多传感器多目标跟踪的JPDA算法,它以极大似然估计完成对来自
多传感器的测量集合进行同源最优分划,然后采用JPDA方法对多目标进行跟踪。经过理论分析和
仿真试验,证明了该方法能有效地进行多传感器多目标的跟踪,且具有算法简单、跟踪精度高、附
加的计算量小等优点。-Abstract)
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该程序源码中包括了各种典型分布的二维数据的自动生成,二维概率密度函数的极大似然估计和窗函数估计,bayes分类器的设计和分类器错误率的多种方法估计-The program includes a variety of typical source distribution of the automatic generation of two-dimensional data, two-dimensional probability density function of the maximum l
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matlab实现极大似然估计法定位无线传感器网络节点。-matlab maximum likelihood estimation method to achieve positioning of wireless sensor network nodes.
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fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!.
Given the samples of a rayleigh distribution, the PDF parameter is found
fits data to the probability of the form:
p(r)=r*exp(-r^2/(2*s))/s
wit
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牛顿拉夫森法用来解决极大似然估计的问题。很好用。-Newton La Fusen method to solve the problem of maximum likelihood estimation. Good use.
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Rayleigh Maximum likelihood estimation based filter for speckle noise removal.Along with that modification done in RMLE filter with respect to homogenous mask area rotating kernel filter.
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贝叶斯估计 和极大似然估计的matlab程序-matlab program of Bayesian estimation and maximum likelihood estimation
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