Description: We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth power, where M is an integer depending on the type and
size of the symbol constellation, and then applying the nonlinear
least squares (NLLS) estimation approach. At low signal-to noise
ratio (SNR), the NLLS method fails to provide an accurate CFO
estimate because of the presence of outliers. In this letter, we derive
an approximate closed-form expression for the outlier probability.
This enables us to predict the mean-square error (MSE) on CFO
estimation for all SNR values. For a given SNR, the new results
also give insight into the minimum number of samples required in
the CFO estimation procedure, in order to ensure that the MSE
on estimation is not significantly affected by the outliers. Platform: |
Size: 1265664 |
Author:吴大亨 |
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Description: 多种概率分布的拟合函数集合
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!-Fitting a wide range of probability distribution functions including the collection of this algorithm 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. Have reference value is! Platform: |
Size: 21504 |
Author:lcp |
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Description: 模式识别中的parzen窗估计概率密度的一个自编的函数-Pattern Recognition Parzen window estimate of probability density function of a self- Platform: |
Size: 1024 |
Author:skybird2006 |
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Description: 算术编码是把一个信源表示为实轴上0和1之间的一个区间,信源集合中的每一个元素都用来缩短这个区间。
算术编码的过程如下:
(1)设定编码区间的高段为h,编码区间的长度为g,EndC为编码字符分配的高段,StartC
为字符分配区间的低端。
(2)根据有限的信源估算出各元素的概率。
(3)杜宇编码的元素A1,根据(2)估算的概率和区间,计算出该元素编码后的新的l,和h。-Arithmetic coding is a source expressed as a real axis between 0 and 1, a range of source collection of every element are used to shorten the interval. Arithmetic coding process is as follows: (1) set the encoding range for the high-paragraph h, the length of interval encoding g, EndC for encoding characters in the distribution of high-paragraph, StartC for the characters in the distribution of the low-end range. (2) According to the limited source to estimate the probability of each element. (3) Du coding element A1, according to (2) to estimate the probability and the interval to calculate the elements of the new code of l, and h. Platform: |
Size: 4096 |
Author:王曉明 |
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Description: 这是一个有关parzen窗估计的代码,用来估计概率密度函数,在模式识别中有很多重要的地位-This is a window of the estimated parzen code, used to estimate the probability density function, in the pattern recognition there are many important position ~ ~
Platform: |
Size: 1024 |
Author:何欢 |
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Description: This the MRICP driver for player/stage. This Driver is used as a localizer and Occupancy Grid Map Builder using simple Bayesian Probability Update. It uses Iterative closest Point method to allign laser scans and estimate the change of pose-This is the MRICP driver for player/stage. This Driver is used as a localizer and Occupancy Grid Map Builder using simple Bayesian Probability Update. It uses Iterative closest Point method to allign laser scans and estimate the change of pose Platform: |
Size: 116736 |
Author:Mohsen |
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Description: 一种聚类方法。就省略了概率估计这一步,而直接进行判别函数的设计。-one cluster algorithm.To estimate the probability of this step is omitted, and direct discriminant function design. Platform: |
Size: 1024 |
Author:lichengliang |
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Description: 此为模式识别中Parzen窗法估计概率密度函数。
全部程序流程如下:
1、读取FAMALE.TXT文件把身高或体重给数组,并求x1的样本数N1和窗宽、体宽;
2、读取MALE.TXT文件把身高或体重给数组,并求x2的样本数N2和窗宽、体宽;
3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M;
4、利用Parzen窗法估计概率密度函数判别男女性别;
5、对本判别的错误率进行统计。
-This is the pattern recognition Parzen window method to estimate the probability density function .
All program flow is as follows :
1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width
2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width
3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M
4 , the use of Parzen window method to estimate the probability density function of gender discrimination
5 , determine the error rate of the statistics .
Platform: |
Size: 3072 |
Author:崔杉 |
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Description: 介绍最大后验概率估计的文章,讲解最大后验概率估计MAP的原理-Introduce the maximum a posteriori probability estimates article to explain the maximum a posteriori estimate of MAP principle Platform: |
Size: 46080 |
Author:huangfei |
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Description: 算术编码是图像压缩的主要算法之一。 在给定符号集和符号概率的情况下,算术编码可以给出接近最优的编码结果。使用算术编码的压缩算法通常先要对输入符号的概率进行估计,然后再编码。这个估计越准,编码结果就越接近最优的结果
-Arithmetic coding is one of the main algorithm of image compression. In the case of the given sets of symbols and the symbol probability, the arithmetic coding can be given close to the optimal result of the coding. Using arithmetic coding compression algorithm usually first to estimate the probability of the input symbol, and then re-encoded. This estimate accurately coding the results closer the optimal results Platform: |
Size: 21504 |
Author:张婷婷 |
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Description: 模拟一个双正交信号源通过一个高斯噪声信道后,解码出来的数据和原来的数据进行比较估算其错误概率.-Simulation of a Communication System Employing M=4 Biorthogonal Signals.The purpose is to estimate the probability of error as a function of the SNR. Platform: |
Size: 888832 |
Author:maoshengdi |
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Description: 这是一个有关parzen窗估计的代码,用来估计概率密度函数。采用了方窗、指数窗、高斯窗函数三种核函数,附有matlab程序。-This is an estimate of the code related to parzen window, used to estimate the probability density function. With a side window, the index window, Gaussian window function three kinds of kernel function, with matlab program. Platform: |
Size: 56320 |
Author:章 |
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Description: ukf在MATLAB下的仿真程序,ukf是对非线性函数的概率密度分布的近似估计。-The UKF s simulation program in MATLAB, UKF is the estimate of the probability distribution of nonlinear function. Platform: |
Size: 1024 |
Author:吴永慧 |
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Description: KMV模型用来估计借款企业违约概率的方法。该模型认为,贷款的信用风险是在给定负债的情况下由债务人的资产市场价值决定的。该模型了债务人的债权和股权的市场公允价值.-KMV model is used to estimate the probability of default of the borrower methods. The model considers the credit risk of loans given in the case of liability is determined by the market value of the debtor s assets. The model of the fair value of the debtor s debt and equity markets. Platform: |
Size: 1024 |
Author:kitty |
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Description: propose using a probability distribution function (PDF)
of throughput measurements and an estimate of the number
of covered and uncovered users of each cell considered for
optimization in order to construct an objective function which
is better suited to jointly maximize throughput and coverage. Platform: |
Size: 348160 |
Author:Omar |
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Description: 非参数估计——直方图方法,估计多元随机变量的概率密度函数。-Non-parametric estimation- histogram method, estimate the probability density function of multivariate random variables. Platform: |
Size: 1024 |
Author:lzz |
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Description: 核函数估计(一元,高斯核函数),包括带宽优化-kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. Platform: |
Size: 1024 |
Author:luke jons |
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Description: EM算法是在概率模型中寻找参数的最大拟然估计或最大后验估计的迭代算法-EM algorithm is looking for parameters in the probability model of maximum quasi likelihood estimation or maximum a posteriori estimate of the iterative algorithm Platform: |
Size: 2048 |
Author:zhangweidong |
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Description: 估计随机信号的概率密度分布和累计密度分布-Estimate the probability density of random signal distribution and density distributio Platform: |
Size: 51200 |
Author:weichenglong |
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Description: 要对单变量正态分布以及分类分布两种概率分布 模型,分别采用最大似然(ML),最大后验(MAP)以及贝叶斯估计(Bayes)的 方法进行概率密度估计。 -In this paper, the maximum likelihood (ML), maximum a posteriori (MAP) and Bayesian estimation (Bayes) methods are used to estimate the probability density of two kinds of probability distribution models of univariate normal distribution and categorical distribution. Platform: |
Size: 8854528 |
Author:Christiana |
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