matlab7_0_readme

用MATLAB计算多线连接的波导网络系统的频谱结构(Calculated using MATLAB waveguide multi-line network connected to the spectral structure)

编写离散时间傅里叶变换子函数，并调用此函数求下列序列的离散时间傅里叶变换(The preparation of discrete-time Fourier transform subroutine, and call this function find the following sequence of discrete-time Fourier transform)

实现霍夫曼编码，根据随机概率编程霍夫曼码，有详细解释。(Huffman coding to achieve, according to random probability programming Huffman code, a detailed explanation.)

说明：  利用小波包变换对一个二维含噪图像进行分析处理。(using wavelet transform packets of a two-dimensional images with noise analysis.)

双谱法时延估计算法，经过仿真验证效果很好(Dual spectroscopy delay estimation algorithm through simulation works well)

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 )

通过区域分裂和合并对图像区域完成分裂合并的算法(Through the regional division and the completion of the merger on the image region splitting and merging algorithm)

粒子群算法，用于函数优化问题，也可以求得最短路等问题。(Particle Swarm Optimization)

本书附带光盘中包括了全书所有实例对应的MATLAB的M文件。所有代码按照章节存放在各个文件夹下，如“第4章 插值”文件夹下存放了本书第4章所有的算法程序代码，对于算法的程序代码，在光盘中存为同函数名的M文件，例如，Language.m表示求已知数据点的拉格朗日插值多项式的程序，依此类推。(Book with CD-ROM includes all instances of the book corresponds to the MATLAB M-file. All code is stored in accordance with chapters in every folder, such as " Chapter 4 interpolation" folder stored under chapter 4 of the algorithm all the code for the algorithm of the program code, stored on CD-ROM for the same function name in the M file, for example, Language.m known data points that seek Lagrange polynomial interpolation procedures, and so on.)

实现两幅图像的匹配，程序已调试，可以直接运行(Realize the two images to match, the program has commissioning, can run directly)