kiesun

说明：  ：图像增强是图像处理的一个重要分支，是图像边缘提取、图像分割等的基础．文章介绍了常用的图像增强技 术，并且以Madab为工具完成图像的直方图均衡化、巴特沃斯高通滤波器操作的示例，给出了处理前后的对照图像．重点介 绍了利用小波变换进行图像增强，获得了比较好的增强效果．(: Image enhancement is an important branch of image processing is the image edge extraction, image segmentation, etc. basis. This paper introduces the commonly used image enhancement technology, and to Madab as a tool to complete the image histogram equalization, Butterworth high-pass filter operation of an example is given before and after contrast images. Focuses on image enhancement using wavelet transform to obtain a relatively good enhancement.)

Fuente de trafico de video

基于lms算法的自适应滤波器的matlab实现（包括详细的编程代码）(Adaptive filter based on the lms algorithm matlab implementation (including details of the programming code)

A Guide to MATLAB for Beginners and Experienced Users - Hunt Lipsman & Rosenberg.rar

基于自适应滤波的DPC-MAB+SAR方位向信号重建.pdf(SAR Azimuth Signal Reconstruction Based on Adaptive Filtering for the DPC-MAB SAR System)

链路预测的matlab实验源代码，通过这些源代码可以得出链路预测的基本实验效果(Link prediction matlab experiment source code, the source code can be obtained through these basic experimental results link prediction)

数据模型归一化，模态振动，加入重复控制，包括面积、周长、矩形度、伸长度。( Normalized data model, modal vibration, Join repetitive control, Including the area, perimeter, rectangular, elongation.)

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 )

说明：  智能控制源程序，适合初学者使用，是用matlab语言编写(Intelligent Control of source code, suitable for beginners to use, is to use matlab language)

说明：  是一款非常好用的matlab学习资料，希望给大家帮助(Matlab is a very useful learning materials, want to give you help)