matlab-examples3

基于MATLAB的电力系统潮流计算的程序，比较完整，适合入门新手学习。(MATLAB-based power system load flow calculation program , complete and suitable for beginners novice learning .)

In Matlab 模拟与分析PCM不同量化级别的量化噪声 可以直接运行(In Matlab， simulation and analysis of different quantization levels of PCM quantization noise ，can be run directly)

信号相关度的检测，matlab编程实现，可有效说明两列信号的相关性信息(the dectection of signal correlationships，make it by matlab)

瞬变电磁TEM层状介质正演.基于Matlab平台。地球物理学(TEM 1D forward)

说明：  计算棱镜SPR传感器透射率，包括角度扫描和波长扫描两种模式。(Calculation of transmittance of prism SPR sensor)

FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。因此，FIR滤波器在通信、图像处理、模式识别等领域都有着广泛的应用。 (FIR (Finite Impulse Response) filters: finite impulse response filter unit, digital signal processing system is the most basic components, it can ensure that any increase in the frequency characteristics of both a strictly linear phase frequency characteristics, while its unit sample response is finite, and therefore the system filter is stable. Therefore, FIR filters in communications, image processing, pattern recognition and other fields have a wide range of applications.)

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 )

A matlab code for air properties

说明：  一篇有关人脸识别的文章，是2010年在国外做访问学者时下载的，仅供参考(An article on face recognition, in 2010 when a visiting scholar in foreign downloaded for reference purposes only)

matlab的命令，很全很给力，大家可以作为字典用(Matlab command very wide to the force, we can use as a dictionary )