搜索资源列表
ma_by
- The Matlab functions and scr ipts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectrum Histogram - ma_ph sone to
Quantizer-lloyd
- 有关标量量化的lloyd-max方法及信噪比，信息熵，最小平方距离的度量方法-The scalar quantization of the lloyd-max method and signal to noise ratio, information entropy, least squares method of distance measurement
SARimagesim
- plot_img：画图子函数 CSA：CS算法m文件 NFA：窄聚焦算法m文件 PDA：RD算法m文件 RMA：距离迁移算法m文件-plot_img: Drawing Functions CSA: CS algorithm m file NFA: narrow focus algorithm m file PDA: RD algorithm m file RMA: distance migration algorithm m file
somebadmdistance
- 一些马氏距离也有坏点。这个程序是用MATLAB语言做的。如果你安装了该软件，则可按步骤下载并共享。-some bad points of m-distance .It was using matlab.So if you have installed matlab software,you can download and share it.
WaveletBasedTextureRetrievalUsingGeneralizedGaussi
- 基于小波变换的特征检索算法，用了广义高斯函数和K-L距离为相似侧度 -Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance
daima
- （压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
gmmbayestb-v0.1.tar
- This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three
Multi-travelingsalesmanproblem
- 多旅行商问题是单旅行商问题的扩展, 具有更广泛的实际意义。在研究M TSP 解的特点的基础上, 提 出了最小化总行程和均分多个旅行商访问点数、最小化总行程及均分访问路程的两个多目标的M TSP 问题, 并分别给出了相应的数学模型、求解算法和应用实例, 实例表明模型的正确性。-Multi-traveling salesman problem traveling salesman problem is a single expansion, with a wider range of pra
skyplot
- SKYPLOT for a given receiver position Y=skyplot(X,PRN,C,O) draws the skyplot for the receiver position. The required inputdata for the calculation of the skyplot X is N-by-3*M matrix, where N are the timesteps and M is the number of the Sat
jingeiARTYU
- 本资料的功能为：运用数学统计方法和时间序列分析方法对原始振动信号进行分析，获取相应的时域，频域，频域及时间序列模型参数并以此作为特征参数，然后运用距离区分技术进行评估，选取敏感的特征参数作为ART-similarity分类器的输入并进行训练，最后便可识别出设备的性能状态。 基于YU范数对承不同预紧状态的分析，针对进给系统所采集的数据样本事先不知其对应的状态时，则可利用基于YU范数的ART-Similarity监督分类器对其进行诊断分析。针对基于Yu范数ART-Similarity的算法
gvfsnakeMATLAB
- gvf snake 邊緣檢測範例(包含範例圖)-1. Introduction and Installation Instructions ---------------------------------------------- Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The Matlab*.m files in this software distribution imp
TemplateMatchingProgram
- 这是模式识别中模板匹配内容的Matlab例程，其中edit_distance程序用来计算两个符号字符串间的编辑距离； back-tracking程序是“回溯”法画出最佳路径的代价网格； Dtw-Sakoe.m程序是具有Sakoe-Chiba局部路径约束的动态时间弯 折。-This is a pattern recognition template matching the content of Matlab routines, which edit_distance proce
ACATSP.m
- 应用蚁群算法来解决所有点的遍历且距离最短的问题-Ant colony algorithm to solve all the points of the traversal and shortest distance problems
sim
- -latlon2km.m : to find distance between two longitude-latitude coordinate -fresspaceloss.m: to calculate freespace path loss - cazacseq.m: to generate cazac sequence - pusc.m : to generate index for pusc in wimax - FCH generator: to generate
Distance-Regularized-Level-Set
- 水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型，是下面一篇带距离正则化的水平集方程论文的应用： C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,
distance
- Matrix method to calculate all Euclidean distances one N-d point set to another M-d point set. Please rename to avoid conflict with built in MATLAB function.-Matrix method to calculate all Euclidean distances one N-d point set to another M-d point s
euclidean_dist.m
- Euclidean distance between 2 pts
euc2sph_dist.m
- Convert euclidean to spherical distance
eq_packing_density.m
- Minimum coefficient distance
两跳协作通信
- 程序是在不同信噪比情况下两跳协作通信系统分别采用AAF和DAF协议时接收端的误码率仿真主函数twohop.m以及一些子函数,假设信道时瑞利信道。S_R\R_D\S_D的传输距离是1米，调制方式是BPSK，信噪比在-15dB-15dB,接收端合并方式为ERC,迭代次数为1000(The program simulates the BER of the main function twohop. m and some sub-functions at the receiver when the tw