gaussian pulse

本程序能实现离线的数字识别，在MATLAB下运行，同时可以用其中部分代码实现图像的灰度，二值化，细化，归一化等功能，采用Bp神经网络。(This procedure can achieve the number of off-line identification, in the MATLAB run, at the same time part of the code can achieve one of the gray-scale images, binarization, thinning, and other functions normalized using Bp neural network.)

染色体识别与统计,matlab图像处理，染色体识别与统计,matlab图像处理(Chromosome identification and statistics)

matlab simulink of rayleigh

2008年出版的，最新的第四版的讲信号与系统建模和simulink的书籍，很是适合通信专业的参考！同时也可以作为matlab扫盲的书(Published in 2008, the latest talk about the fourth edition of Signals and Systems Modeling and simulink books, it is a reference for communication professionals! At the same time can also book as a literacy matlab)

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

反演工具箱2.0_MATLAB7.0适用，用于反演，matlab程序(The inversion Toolbox 2.0_MATLAB7.0 applicable, for the inversion, matlab program)

Matlab moore Reverb. algorithm

基于灰色关联理论，用于计算个因素与决策变量之间的灰色关联度(Calculation of grey relational degree)

样本熵是时间复杂度的一个，度量是衡量时间序列复杂度的一个参数(The sample entropy time complexity metric is a parameter of the measure of time series complexity)

Implement the histogram equalization technique