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Description: 最小二乘支撑向量机matlab版-least squares Support Vector Machine Matlab version
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Size: 253952 |
Author: 张小洪 |
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Description: BP神经网络算法的matlab代码，本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。希望有用-BP neural network algorithm Matlab code, the procedures under the trained network file ANN.mat anticipating new data files, be mean square error, paint and forecast data and the original data in contrast to Fig. Hope useful
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Size: 15360 |
Author: 杨力 |
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Description: Rls递推二乘最小算法的MAtlab 仿真。-Rls recursive least square algorithm MAtlab simulation.
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Size: 1024 |
Author: 王州强 |
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Description: 一个用matlab语言编写的俄罗斯方块游戏-a prepared using Matlab language of the Russian box game
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Size: 3072 |
Author: 高峰 |
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Description: ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
-ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
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Size: 5120 |
Author: 阳关 |
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Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS
算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同
信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program.
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Size: 191488 |
Author: 宋 |
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Description: 最小均方算法的Matlab源程序,模式识别中的分类器 -Minimum mean-square algorithm Matlab source code, Pattern Recognition Classifier
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Size: 4096 |
Author: leestar |
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Description: LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小，因此称为最小均方（LMS）自适应滤波器。-LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter.
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Size: 47104 |
Author: jj |
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Description: 递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的-Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent
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Size: 3072 |
Author: 闫丰 |
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Description: 采用Matlab编写的最小二乘法，实现对两类的正确分类-Prepared by the use of Matlab least squares method, to realize two types of correct classification
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Size: 2048 |
Author: junrren |
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Description: 控制流语句if-else-end，并且用学生成绩举例，创建Hilbert矩阵，n阶魔方矩阵，编写一个M函数文件-Control-flow statements if-else-end, and with student achievement, for example, create a Hilbert matrix, n-order magic square matrix, the preparation of an M function file
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Size: 3072 |
Author: 王斌斌 |
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Description: MATLAB 代码的最小均方MMSE和最小二乘法LS算法的程序-MATLAB code MMSE minimum mean-square algorithm and the least squares procedure LS
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Size: 5120 |
Author: 毛山明 |
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Description: 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For weighted fitting, and estimated by least square method. It combines the traditional local polynomial fitting, locally weighted regression as well as strong robustness of the fitting process
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Size: 3072 |
Author: wanghuaqiu |
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Description: 最小二乘法(Least-square method)在matlab平台下的实现程序。-Least square method (Least-square method) in the matlab platform realize the procedure under.
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Size: 2048 |
Author: Liu |
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Description: 递推格式的最小二乘法参数辨识算法matlab语言设计与实现-Recursive least squares format parameter identification algorithm matlab language design and implementation
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Size: 1024 |
Author: simba |
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Description: partial least square matlab code.
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Size: 14336 |
Author: keyvan |
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Description: LMS-MATLAB最小均方算法的Matlab源程序,模式识别中的分类器-LMS-MATLAB least-mean-square algorithm of Matlab source code, Pattern Recognition Classifier
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Size: 192512 |
Author: Rock |
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Description: Fast chi-square distance computation in C, matlab and python
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Size: 31744 |
Author: Olivier Poto |
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Description: chi-square test,for goodneesfit test.-chi-square test, for goodneesfit test.
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Size: 1024 |
Author: xie |
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Description: 最小二乘法，无论是在工程上还是在学术上都应用越来越广泛，文章给出了一个比较好用的最小二乘matlab 实现程序，很好用下载即可运行。-Least squares method, whether in engineering or applied more widely both the academic, the article gives a least squares matlab implementation relatively easy to use program, good to run with the download.
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Size: 3072 |
Author: lihaiqiang |
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