Description: turbo码系统的仿真，包括编码、交织、不同译码、穿孔等各个部分的程序。仿真结果在图中表现。译码算法为log-map。-turbo code system simulation, including encoding, interleaving, different decoder, such as perforation of part of the process. Simulation results are shown in Fig. Decoding algorithm for log-map. Platform: |
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Author:赵欣 |
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Description: LDPC译码算法，没有采用LOG方法，MATLAB语言实现仿真-LDPC decoding algorithm, without the use of LOG methods, MATLAB simulation Platform: |
Size: 1024 |
Author:陈小车 |
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Description: In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
-In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
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Author:晨间 |
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Description: 应用log算法进行图像的边缘检测，log算法是一种基于灰度值的二阶导数来进行边缘检测的，通过检测零点来进行边缘检测-Application log algorithm for image edge detection, log-based algorithm is a gray value of the second derivative for edge detection, by detecting zero for edge detection Platform: |
Size: 1024 |
Author:zhangzhang |
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Description: Basic function to locate and measure the positive peaks in a noisy
data sets. Detects peaks by looking for downward zero-crossings
in the smoothed third derivative that exceed SlopeThreshold
and peak amplitudes that exceed AmpThreshold. Determines,
position, height, and approximate width of each peak by least-squares
curve-fitting the log of top part of the peak with a parabola.-Basic function to locate and measure the positive peaks in a noisy
data sets. Detects peaks by looking for downward zero-crossings
in the smoothed third derivative that exceed SlopeThreshold
and peak amplitudes that exceed AmpThreshold. Determines,
position, height, and approximate width of each peak by least-squares
curve-fitting the log of top part of the peak with a parabola. Platform: |
Size: 24576 |
Author:morteza |
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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: |
Size: 432128 |
Author:sun |
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Description: 边缘特征提取。可以实现Prewitt Roberts Log Canny 四个算法。-Edge feature extraction. Can be achieved in four Prewitt Roberts Log Canny algorithm. Platform: |
Size: 7168 |
Author:臧超 |
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Description: hurst指数估计
This function does dispersional analysis on a data series, then does a
Matlab polyfit to a log-log plot to estimate the Hurst exponent of the
series.
This algorithm is far faster than a full-blown implementation of Hurst s
algorithm. I got the idea from a 2000 PhD dissertation by Hendrik J
Blok, and I make no guarantees whatsoever about the rigor of this approach
or the accuracy of results. Use it at your own risk.
-hurst
This function does dispersional analysis on a data series, then does a
Matlab polyfit to a log-log plot to estimate the Hurst exponent of the
series.
This algorithm is far faster than a full-blown implementation of Hurst s
algorithm. I got the idea from a 2000 PhD dissertation by Hendrik J
Blok, and I make no guarantees whatsoever about the rigor of this approach
or the accuracy of results. Use it at your own risk.
Platform: |
Size: 1024 |
Author:陈华 |
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Description: LogMAP译码算法,可用于递归卷积编码和非递归卷积编码的译码，代码质量高，供参考-<1> Log MAP decoder for RSC and NSC convolutional codes
<2> Based on Lalit Bahl s original BCJR algorithm and its logarithmic version (Hanzo & Woodard).
<3> Test-bench code is also included. Platform: |
Size: 5120 |
Author:Leo Tsao |
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Description: 运用Log-Map迭代译码算法实现Turbo码的简化译码，改善了码率，提高译码速度，减小了运算量。-The use of Log-Map iterative decoding algorithm decoding Turbo codes to simplify and improve the bit rate, improve decoding speed and reduce the computational complexity. Platform: |
Size: 118784 |
Author:何天玲 |
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Description: 在研究从投影重建图像的算法时，为了比较客观的评价各种重建算法的有效性，人们常选用公认的Sheep Logan 头模型,本文就是用CT重建的理论模型，希望对大家有用-In the study from the projection image reconstruction algorithm, in order to more objective evaluation of the effectiveness of the various reconstruction algorithms, it is often used in a recognized Sheep Logan head model, this paper is to use CT reconstruction of the theoretical model and hope for all of us Platform: |
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Author:星光依旧 |
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Description: BCJR算法是在Turbo码的译码中广泛使用的一种重要算法。程序实现了BCJR的具体译码方法。程序是MAP-LOG的实现算法。-BCJR Algorithm for Turbo decoding is widely used in a key algorithm. The specific procedures implemented BCJR decoding method. MAP-LOG program is the realization algorithm. Platform: |
Size: 1024 |
Author:jack |
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Description: In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.-In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.
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Size: 2048 |
Author:loossii |
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Description: 这是一个基于三角曲面网格实现测地线算法的matlab程序源码-This is an implementation of geodesic (shortest path) algorithm for triangular mesh (triangulated surface) first described by Mitchell, Mount and Papadimitriou in 1987[1] with some minor improvements, extensions and simplifications. The algorithm has O(n^2 log n) worst-case time complexity, but in practice can work with million-node meshes in reasonable time. Platform: |
Size: 277504 |
Author:李云飞 |
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Description: 边缘是图像最基本的特征，包含图像中用于识别的有用信息，边缘检测是数字图像处理中基础而重要的内容。该课程设计具体考察了五种最常用的边缘检测算子并运用MATLAB进行图像处理比较。梯度算子简单有效，LOG算法和canny边缘检测器能产生较细的边缘。-边缘是图像最基本的特征，包含图像中用于识别的有用信息，边缘检测是数字图像处理中基础而重要的内容。该课程设计具体考察了五种最常用的边缘检测算子并运用MATLAB进行图像处理比较。梯度算子简单有效，LOG算法和canny边缘检测器能产生较细的边缘。边缘是图像最基本的特征，包含图像中用于识别的有用信息，边缘检测是数字图像处理中基础而重要的内容。该课程设计具体考察了五种最常用的边缘检测算子并运用MATLAB进行图像处理比较。梯度算子简单有效，LOG算法和canny边缘检测器能产生较细的边缘。自动检测中英文中译英英译中百度翻译.
翻译结果（中 > 英）复制结果
Edge is the most basic features of the image, including image used to identify useful information, edge detection in digital image processing is a basic and important content. The design of the course and studied the five most commonly used edge detection operator and the use of MATLAB for image processing of comparison. Gradient operator is simple and effective, the LOG algorithm and the canny edge detector to generate fine edge. Platform: |
Size: 2048 |
Author:hu` |
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Description: matlab平台下，使用log算法对图像中的目标进行边缘检测(On MATLAB platform, using log algorithm to detect the edge of the object in the image) Platform: |
Size: 2246656 |
Author:在北国 |
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Search - LoG algorithm in matlab