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lmse
The LMSE package contains two subroutines. LMSE computes the minimum mean square error (MSE) possible if one image is allowed to be linearly scaled in intensity. LMSEDIFF computes the difference image after the target image is scaled according to the scaling that minimizes the MSE. This is a better way to compare images if the absolute magnitude of the intensity has no meaning.
- 2010-11-22 15:27:03下载
- 积分：1
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matlabimageprocessing
matlab图像处理代码，基本上常用的都包含在里面了，挺好的，适用于基础学习。(matlab image processing code, basically common are included in the inside, and quite good for basic learning.)
- 2009-12-15 14:48:15下载
- 积分：1
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countRepetit
for Counting all repetitions of each elements repeated occurrences within a vector
- 2010-12-16 20:24:38下载
- 积分：1
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2-D-Wave-Equation-FDTD-TE-code
一个二维的fdtd程序，入射波为TE波，较完整，带有pml边界条件。感兴趣的可以下载看看。(A two-dimensional fdtd procedures for the TE incident wave, more complete, with pml boundary conditions. Interested can download to see.)
- 2014-02-24 22:18:26下载
- 积分：1
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Teatro.cpp
Programa para gerenciamento de um teatro
- 2014-10-18 08:02:24下载
- 积分：1
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SimpleMthd
单纯形法matlab程序
求解标准型线性规划:max c*x s.t. A*x=b x>=0
本函数中的A是单纯初始表，包括:最后一行是初始的检验数，最后一列是资源向量b
N是初始的基变量的下标
输出变量sol是最优解, 其中松弛变量（或剩余变量）可能不为0
输出变量val是最优目标值，kk是迭代次数( example：max 2*x1+3*x2
s.t. x1+2*x2<=8
4*x1<=16
4*x2<=12
x1,x2>=0)
- 2013-11-29 17:05:08下载
- 积分：1
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phase-hopping-communication
跳相扩频通信，用8PSK信号，包含单用户和多用户，瑞利信道(
Phase-hopping spread spectrum communication, with 8PSK signal, including single-user and multi-user, Rayleigh channel)
- 2016-11-24 10:00:31下载
- 积分：1
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MATLAB_NOTE
MATLAB基础讲课笔记内容，适合初学者，(MATLAB based on the content of lecture notes, suitable for beginners,)
- 2008-08-05 09:33:22下载
- 积分：1
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modulePparticlePfilter
这是用于目标跟踪的粒子滤波代码，
用matlab编写的，很有借鉴性，一维情况下，
非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性(This is a particle filter for target tracking code using matlab, referential nature, one-dimensional case, the non-Gaussian non-linear, which will be extended Kalman filter and particle filter to compare, a better description of the particle the superiority of the filter)
- 2012-08-16 16:15:35下载
- 积分：1
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基于PCA的SVM分类
说明： 选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
- 2020-06-20 10:20:02下载
- 积分：1
