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surprise_toolkit.0.05a
Bayesian Surprise Toolkit for Matlab
T. Nathan Mundhenk, Laurent Itti(Bayesian Surprise Toolkit for Matlab T. Na than Mundhenk, Laurent Itti)
- 2007-05-19 11:56:23下载
- 积分：1
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sim_wave.c
DFT变换求相位差和振幅大小程序，可以滤除噪声精确求得相位差和幅度值(DFT code)
- 2014-09-28 14:00:24下载
- 积分：1
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bukongzhengliu
基于simulink的单相不控整流桥电容负载的仿真模型(Single-phase controlled rectifier bridge capacitive load of the simulation model)
- 2013-10-03 00:30:27下载
- 积分：1
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MatlabPracticalProgram
说明： 包含图形应用篇，界面设计篇，图形处理篇，数值分析篇和很多实例(Chapter contains graphics applications, interface design articles, graphics processing articles, papers, and many examples of numerical analysis)
- 2010-04-01 15:10:27下载
- 积分：1
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UWBcode
超宽带无线电基础那本书的源程序，对学习超宽带的朋友很有帮助(Ultra-wideband radio base of the source book, a friend of learning helps UWB)
- 2010-08-31 23:28:10下载
- 积分：1
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RINEX_Analytic
读取RINEX文件格式的测量数据和导航星历数据文件，解析出相应的各种参数。(Read the measurement data of the RINEX file format and navigation ephemeris data files, parsing out the various parameters.)
- 2020-06-26 23:00:02下载
- 积分：1
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JPEG-Matlab
实现图像的JPEG压缩和解压的 Matlab程序(To achieve the JPEG image compression and decompression of the Matlab program)
- 2011-09-25 16:21:59下载
- 积分：1
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MRTD2D_TE_COIF
基于2阶消失矩的Coifman小波基函数的2维MRTD电磁散射正演模型，吸收边界为PML。(Based on 2 vanishing moments of the Coifman wavelet function of 2-D MRTD forward model of electromagnetic scattering, absorbing boundary for the PML.)
- 2011-10-28 10:29:06下载
- 积分：1
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CFuzzy
MATLAB进行模糊统计，得到模糊分布(隶属函数)近似解析表达式(MATLAB fuzzy statistics, get fuzzy distribution (membership function) approximate analytical expressions)
- 2013-11-11 17:05:09下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
