Description: Tdscdma系统中的载频估计程序，利用导频段，极大似然的估计算法，在MATLAB中的实现程序-Tdscdma system of carrier frequency estimation procedures, the use of derivative band, the maximum likelihood estimation algorithm, MATLAB in the realization process Platform: |
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Author:青青 |
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Description: 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，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。-Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe Platform: |
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Author: |
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Description: Tdscdma系统中的载频估计程序，利用导频段，极大似然的估计算法，在MATLAB中的实现程序-Tdscdma system of carrier frequency estimation procedures, the use of derivative band, the maximum likelihood estimation algorithm, MATLAB in the realization process Platform: |
Size: 2048 |
Author:青青 |
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Description: 这是一个基于matlab语言的用极大似然估计法做的多项分布程序-This is a matlab-based language with maximum likelihood estimation method to do a number of distribution procedures Platform: |
Size: 1024 |
Author:杨芮 |
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Description: 这是一个基于matlab且运用极大似然估计法对伽马分布进行拟合-This is a matlab-based and the use of maximum likelihood estimation method for gamma distribution fitting Platform: |
Size: 1024 |
Author:杨芮 |
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Description: 此算法为基于最大似然方法的DOA估计 是区别于子空间类的DOA算法 但需要多维搜索 计算量较大-This algorithm is based on the maximum likelihood method of DOA estimation is different from the sub-space kind of DOA algorithm but calculating the volume of the larger multi-dimensional search Platform: |
Size: 1024 |
Author:金江 |
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Description: 信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 -Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade. Platform: |
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Author:Lee |
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Description: 附件中的m代码包括了一系列的拟合函数，这些函数通常的输入是概率分布的样本。还有最大似然估计仿真器、最小平方仿真器、混合高斯分布估计的EM算法、-M in the annex to the code, including a series of fitting function, which function normally is the probability distribution of input samples. There are maximum likelihood estimation simulator, emulator least squares, mixed-Gaussian distribution is estimated that the EM algorithm, Platform: |
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Author:liyuedsg |
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Description: 本算法包括最大似然估计，最小二乘估计，基于EM算法的多种混合高斯分布估计，EM算法测试实例，绘制每种分布的plot函数。非常有参考价值！-This algorithm, including maximum likelihood estimation, least squares estimation, based on the EM algorithm estimate a mixture Gaussian distribution, EM algorithm for the test examples, each mapping the distribution of the plot function. Very useful! Platform: |
Size: 22528 |
Author:liyuedsg |
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Description: OFDM系统同步中的定时估计算法，主要使用了极大似然估计法。此程序实现极大似然估计法定时的程序。-OFDM system, synchronization of timing estimation algorithm, the main use of maximum likelihood estimation method. Realize this procedure maximum likelihood estimation when the statutory procedures. Platform: |
Size: 3072 |
Author:张彩 |
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Description: Implements Maximum likelihood estimation of beta and other parameters for model of stock portfolio vs. index using kalman filter Platform: |
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Author:rajesh |
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Description: 该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比-The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated Platform: |
Size: 1024 |
Author:贾小勇 |
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Description: 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio Platform: |
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Author:sun |
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Description: 用MATLAB编写的单目标跟踪算法程序，采用了递归式算法，包括极大似然然估计，卡尔曼滤波，扩展卡尔曼滤波和无迹卡尔曼滤波，带有注释，易于理解。-Written with the MATLAB program single-target tracking algorithm, using recursive algorithms, including maximum likelihood estimation, Kalman filtering, extended Kalman filter and unscented Kalman filter, with comments, easy to understand. Platform: |
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Author:asd |
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Description: 最大似然估计法的matlab实现，及Crammer-lor下界的确定-Maximum likelihood estimation of the matlab implementation, and Crammer-lor to determine the lower bound Platform: |
Size: 1024 |
Author:dago |
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Description: 主要是介绍极大似然估计并用matlab实现极大似然估计-Is to introduce the maximum likelihood estimation and use matlab to achieve maximum likelihood estimation Platform: |
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Author:he |
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Description: 用MATLAB编写代码,在经济和金融中法对连续时间过程实现了封闭的最大似然估计方法-The code, written in MATLAB, implements the closed-form maximum-likelihood estimation method for continuous-time processes in economics and finance. First, the code maximizes the log-likelihood function and displays the MLE estimates, the standard error estimates (constructed from the inverse of Hessian) and the misspecification-robust standard error (i.e., the sandwich estimate). Second, it reports whether the maximization procedure converges under the default tolerance. Finally, it plots the marginal log-likelihood for each parameter in a neighborhood of the estimates. The blue curve is the likelihood function, while each red star corresponds to the estimate for the corresponding parameter. For more information about the models, please read the user s guide (link "more"). Platform: |
Size: 259072 |
Author:雪之恋 |
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Search - maximum likelihood estimation matlab