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张小飞《阵列信号处理与应用》所附matlab程序(Zhang Xiaofei " array signal processing and applications" annexed matlab program)

大津法示例,里面有几张图片，希望大家可以参考(This is a OTSU)

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 )

program to make motion estimation in matlab

图像处理MATLAB程序（教学使用）-图像灰度级修正（直方图规定化）(MATLAB image processing program (Teaching)- image gray level correction (histogram specification))

code for face recognition using ica (independent component analysis) .a good code sor reaserch.

matlab高级讲义，希望对初学者有用。里面有根讲义配套的程序代码(matlab advanced lectures, I hope it will be useful for beginners)

独立成分分析(Independent Component Analysis，ICA)是近年来提出的非常有效的数据分析工具，它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。(Independent component analysis (Independent Component Analysis, ICA) is a very effective tool for data analysis proposed in recent years, it is mainly used to extract the original independent signals the mixed data. It is an effective method for signal separation and widespread concern.)

blind image data using RDWT SVD algorithm.watermarking using a wavelet algorithm and a compression (SVD) algorithm....

具有可视化界面的离散无记忆信道容量迭代计算(Visual interface with discrete memoryless channel capacity iteration)