[matlab编程] fcm
模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数
Fuzzy C- Means clustering MATLAB, which contains 10 MATLAB function (2005-04-03, matlab, 5KB, 下载2690次)
[交通/航空行业] SINS-MatlabImplement
本程序是关于四元数法捷联惯导解算算法的matlab程序组合包，其中包括滤波初始对准仿真，罗经法初始对准仿真，捷联惯导解算仿真，组合卡尔曼滤波等演示程序及其必需的参数矩阵转换程序，程序算法皆是本人通过大量阅读捷联惯导经典论文书籍编写的，经过调试已经通过，所得圆锥误差，划桨误差与秦永元所编惯性导航一书相符，可靠性较高。适合惯导学习者参考改进使用
This procedure is the law about quaternion SINS algorithm matlab solver combination package procedures, including filtering at the initial simulation, the initial alignment Gyrocompass law simulation, SINS Solution Demo simulation procedures, portfolio Kalman filter and the necessary presentation matrix conversion process parameters, the program algorithm are a large number of read I SINS classic books written thesis, after debugging has been passed from the error cone, paddle QIN Yong-yuan of the error and inertial navigation for one book in line with higher reliability. Inertial reference suitable to improve the use of learners (2009-04-02, matlab, 20KB, 下载2338次)
[matlab编程] matlab_sourcecode_for_Axes
FPEXTRACTDEMO 指纹特征提取演示程序 一个完整的指纹特征提取程序。包括常用的所有算法...
选项：
- Centralize: 二值化图像，计算中心点
- Crop: 图像修剪
- Sectorize: 可视化扇形
- Normalize: 归一化输入图像
- Gabor filters: 可视化Gabor滤波器
- Convolute: 计算输入图像和Gabor滤波器的convolution
- Features: 特征可视化
- FingerCode: 在数据库中加入该指纹 - Check: 指纹匹配
Fingerprint Feature Extraction FPEXTRACTDEMO demo program a complete fingerprint feature extraction procedures. Including all the algorithms commonly used options ...:- Centralize: binary image, Center Point- Crop: image pruning- Sectorize: Visualization fan- Normalize: normalized input image- Gabor filters: Visualization Gabor Filter- Convolute: Calculation of the input image and Gabor filter convolution- Features: Characteristics of visualization- FingerCode: in the database to join the fingerprint- Check: Fingerprint matching (2007-08-27, matlab, 359KB, 下载1842次)
[Windows编程] improvedfcm
fcm是模糊c均值聚类算法，确定聚类中心以后，通过循环迭代，确定最佳聚类中心
FCM is a fuzzy c means clustering algorithm to determine the cluster center, the adoption cycle of iteration, to determine the optimal cluster center (2008-08-13, matlab, 6KB, 下载1534次)
[matlab编程] meanshift
均值平移跟踪算法中核函数窗宽的自动选取代码，根据目标大小变化核窗宽，使得当目标出现大小变化时准确跟踪到目标中心
Mean shift tracking algorithm in the kernel function automatically selects the window wide code, depending on the target size of changes in the nuclear window width, making small changes occur when the target accurately track to the target when the center (2007-12-26, matlab, 9KB, 下载1244次)
[图形图像处理] kmeans1
k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）
k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix) (2008-05-31, matlab, 1KB, 下载952次)
[matlab编程] GAFCM
遗传算法改进的模糊C-均值聚类MATLAB源码
模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。
Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard fuzzy C-means clustering algorithm to obtain the optimal classification result. (2009-11-10, matlab, 1KB, 下载845次)
[图形图像处理] ROI
Matlab图像感兴趣区域编码，这个程序所包括的m代码实现了迭代的图像处理，找出感兴趣区域。并同时输出区域、均值、STD、最小值、最大值、中值、中心点等等。
Matlab region of interest image coding, this procedure covered by the code m realize the iterative image processing, to identify areas of interest. And at the same time the output region, the mean, STD, minimum, maximum, median, center and so on. (2008-08-08, matlab, 105KB, 下载754次)
[matlab编程] MyKmeans
实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。
achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or) (2005-07-26, matlab, 1KB, 下载740次)
[matlab编程] HHT_Matlab
HHT三种源代码：1 法国G.Rilling 2 台湾中央大学 3 matlab交换中心
HHT three sources: 1 France G. Rilling 2 Taiwan Central University 3 matlab switching center (2010-12-09, matlab, 6002KB, 下载726次)
[matlab编程] kMedoids
k-中心聚类算法的matlab实现。直接读取文档数据，没有维限制。
k-Medoids clustering algorithm matlab implementation. Document data read directly, there is no dimension restrictions. (2010-03-24, matlab, 2KB, 下载719次)
[matlab编程] huiduzhifangtu
自己编的一些关于图像灰度直方图处理的MATLAB源程序，包括加权距离，累加直方图，欧氏距离，直方图相交法，中心距法共5种方法，可选择适合的选用。
Own some on the image histogram processing MATLAB source code, including the weighted distance, cumulative histogram, Euclidean distance, histogram intersection of law, from the Law Center, five kinds of methods to choose the appropriate selection. (2007-12-29, matlab, 2KB, 下载696次)
[系统设计方案] ULA
已知：信号中心波长为2,天线阵元的间距为1米,快拍数为2000，空中有四个 源信号,假设它们的频率 四个源信号的方向分别为： 求： 1）在不加入噪声的情况下,观察并计算协方差矩阵特征值,并对它的特点 加以说明 2）分别采用MUSIC算法,CAPON算法, ESPRIT算法在下面四种情况下，对 上述四个信号源的波达方向进行估计,并画出它们的空间谱图； ①在不加入噪声的情况下, ②在加入高斯白噪声的情况下,假设信噪比为10dB 3）在信噪比变化范围为-20dB~+20dB时，分别采用MUSIC算法,CAPON算 法, ESPRIT算法，对上述四个信号源的波达方向进行估计,并画出波达方 向估计误差,随着信噪比变化的曲线图(即横轴为信噪比,纵轴为误差值) (2008-07-01, matlab, 76KB, 下载695次)
http://www.pudn.com/Download/item/id/502141.html[图形图像处理] isar_code_new
ISAR点目标RD成像算法,距离向包络对齐，多普勒中心相位补偿
Algorithm for ISAR point target imaging (2012-08-02, matlab, 22016KB, 下载622次)
[matlab编程] zwsb_
指纹识别的matlab程序，实现指纹图片的二值化、细化、计算图形中心、存入数据库、指纹匹配等功能，
Fingerprint Recognition matlab procedures realize fingerprint image binarization, thinning, computing graphics center, database, fingerprint matching and other functions, (2008-02-22, matlab, 621KB, 下载560次)
[matlab编程] K-Mean1
编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)
prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2) (2006-07-13, matlab, 119KB, 下载555次)
[图形图像处理] fcm
模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割
An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure. (2009-10-09, matlab, 2KB, 下载531次)
[文章/文档] PSO_base_RBF
PSO的RBFNN优化程序
算法步骤
1.样本数据归一化处理，即将输入输出归一化到[-1,1]区间；
2.确定RBF网络的中心和宽度；
3.以拟合误差的均方根作为性能指标，使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵
PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-1,1] interval 2. To determine the center and width of the RBF network 3. To the fitting error of the mean square roots as a performance index, using the PSO algorithm to optimize RBF network output layer to hidden layer connection weight matrices (2009-11-23, matlab, 4KB, 下载523次)
[matlab编程] DynamicsNumericalMethods
动力学教程中的数值方法，包括中心差分法，newmark法，wilson法
Tutorial dynamics of numerical methods, including the central difference method, newmark Act, wilson Law (2007-07-31, matlab, 3KB, 下载488次)
[matlab编程] featrue7
提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。
extract information based on the instan eous features : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised. (2007-04-06, matlab, 7KB, 下载475次)