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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.
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Size: 1265664 |
Author: 吴大亨 |
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Description: 薄板样条，一种很好的拟合曲线的方法。是最近比较常用的拟合方法。-thin plate spline is so nice fitting method.
Features:
(1) support arbitrary control points
(2) allow regularization
(3) estimate the warp parameters from corresponding pairs
Platform: |
Size: 2048 |
Author: wangwei |
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Description: 老外编的的程序，可以成功运行，推荐下载学习-mosaic.m Code Description
The mosaic.m script operates as follows:
First, it converts the values of the images from unsigned int to double. This is done because most of the MATLAB operations use double as default type. Then, it asks for the points to be matched. Once it has this information it performs a transformation based on an estimate. The value of each pixel is then chosen using a bilinear interpolation. Finally, the mosaicked image is displayed.
Platform: |
Size: 74752 |
Author: jiajia |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolution
spectral estimation of target reflectivity.
all seven (7)files should be downloaded for the simulation to work.
(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 3072 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 1024 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 1024 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 1024 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 1024 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 476160 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 476160 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 476160 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 477184 |
Author: shadi rasmi |
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Description: the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)
Platform: |
Size: 477184 |
Author: shadi rasmi |
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Description: 本压缩文件详细介绍了Robert Piche博士关于贝叶斯算法的理论和他的笔记，其中文档中还包含源码程序，另附两个m文件源程序，是一个非常实用的学习及参考资料-In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications. Advanced topics include model comparison and decision theory.
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Size: 16389120 |
Author: terminator |
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Description: 一维边值为0的微分方程，有限元方法逼近问题的解，给出误差的lebesgue模估计和能量估计。copy到命令窗口里运行即可。-solove one dimension ODE in FEM,and give error estimate
Platform: |
Size: 3072 |
Author: gj |
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Description: Resolve a calibration problem that is to estimate mean value and confidence interval of x since y
Platform: |
Size: 2048 |
Author: samy |
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Description: 三个小程序，对BURG法估计信号空间谱进行了仿真分析，比较基础，通俗易懂-Three small procedures, BURG method to estimate the signal space spectrum simulation analysis, comparison basis, easy to understand
Platform: |
Size: 1024 |
Author: 刘小明 |
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Description: 实验两张图片的拼接，对于图片中的匹配对，用ransac方法消除错配，并估计出仿射矩阵。然后将一张图进行仿射变换，再实现拼接-Experiment two pictures of the stitching, matching pairs for the picture, with ransac way to eliminate mismatches, and to estimate the affine matrix. Then an affine transformation diagram, and then realize splicing
Platform: |
Size: 17755136 |
Author: 肖旺裕 |
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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: levinsion-durbin估计参数发-levinsion-durbin estimate
Platform: |
Size: 1024 |
Author: youhelong |
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