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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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数字音频广播中的同步算法在pc上的实现 主要运用了导频、最大似然估计等算法结合-digital audio broadcast of the pc synchronization algorithm in the application of the realization of the main pilot, Maximum Likelihood estimation algorithm
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基于FFT的极大似然载频估计算法,用CZT实现的MATLAB程序-FFT-based Maximum Likelihood estimation algorithm carrier frequency, with the CZT achieve MATLAB
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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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:极值分布在计量经济学、金融工程、计算生物学、工程测量中都有用途,一般常用最小二乘法估计
其参数,但最小二乘法的误差较高.极大似然估计具有比最4 -乘法更好的性质,但由于它的计算往往比较麻
烦.通过极大似然法估计了极值分布的参数,同时给出了求参数的数值解的算法,并通过Matlab程序实现了
这一算法.
,: Extreme value distribution in econometrics, financial engineering, computational biology, e
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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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实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
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强壮的人脸识别系统,发表于cvpr2011年,程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as
a sparse linear combination of the trai
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这是一个阵列校正的程序,通过计算协方差矩阵,利用矩阵元素间的关系计算出阵列的幅相误差-This is an array of calibration procedures, by calculating the covariance matrix, the relationship between the matrix elements of the array to calculate the amplitude and phase errors
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实现了一个产生符合高斯分布的随机数发生器,并用最大似然估计法估算其方差及均值-Produced in line with the realization of a Gaussian distribution of the random number generator, and the maximum likelihood estimation method to estimate their variance and mean
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本演示程序分别就线性,判决反馈,和最大似然估计均衡器的进行了误码率性能仿真。-This demo program in respect of linear, decision feedback, and the maximum likelihood estimation equalizer BER performance simulation carried out.
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基于最大似然估计的独立分量分析算法,包括随机梯度算法,相对梯度算法,快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
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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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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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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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在重建超分辨率图像后会产生振铃现象,此论文用于优化Pocs方法-Maximum a posteriori and maximum likelihood estimation method of comparison, comparing their respective advantages
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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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