ETFchuanMA

cupola toolbox matlab 大家都懂得就是copula的代码(cupola toolbox)

是本科毕设的题目，相控阵天线的方向图（切比雪夫加权），包含特征值与特征向量的提取、训练样本以及最后的识别，是机器学习的例程，采用累计贡献率的方法，基于人工神经网络的常用数字信号调制，信号处理中的旋转不变子空间法。( The title of the commercial is undergraduate course you Phased array antenna pattern (Chebyshev weights), Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Machine learning routines, The method of cumulative contribution rate The commonly used digital signal modulation based on artificial neural network, Signal Processing ESPRIT method.)

new way for find wieght in neroal network

近红外光谱标准正态变量变换处理方法，主要是消除固体颗粒大小，表面散射以及光程变化对漫反射光谱的影响。(Near infrared spectrum standard normal variable transform processing method, mainly eliminate the solid particle size, surface scattering and the change of optical path of diffuse reflection spectra. )

基于叶素动量定理对风力机叶片外形参数进行设计，考虑了叶尖损失和叶毂损失；对计算的弦长和安装角进行了多项式修正；生成数据存入excel中，为接下来的三维建模做准备；(Blade element momentum theory of wind turbine blade form factor design, taking into account the loss of tip and hub loss based the calculation of the chord length and angle of installation of a polynomial correction generating data into excel, and for the next three-dimensional construction prepare the mold )

Matlab在图像处理与目标识别方面的应用实验程序示例。包括三个程序以及详细文档：一、染色体识别与统计，二、汽车牌照定位与字符识别，三、基于BP神经网络识别字符的简单实验(Matlab image processing and target recognition in the application of experimental procedures for example. Consists of three procedures, and detailed documentation: a, chromosome identification and statistics, two license plate location and character recognition, 3, based on BP neural network character of the simple experiment)

说明：  北斗导航系统Pseudo-satellite in the Compass Navigation System Layout(Pseudo-satellite in the Compass Navigation System Layout)

成型滤波器法仿真平坦衰落信道，功率谱密度为经典谱(Simulation of the shaping filter method flat fading channel, power spectral density for the classical spectrum)

matlab编程教程，适用于初学者，是很好的国外教材(Essentials of MATLAB Programming)

基于负熵最大的独立分量分析，最大似然（ML）准则和最大后验概率（MAP）准则，小波包分析提取振动信号中的特征频率。( Based on negative entropy largest independent component analysis, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Wavelet packet analysis to extract vibration signal characteristic frequency.)