MyGuideGUI

Forward modelling in Magnetotelluris

naive bayes classifier with parzen window kernel fitting

Indexing object properties by signed numerical literals.

平台（Matlab2008a，Simulink，Sysgen 10.1.03）硬件实现RGB2YCbCr (Platform (Matlab2008a, Simulink, Sysgen 10.1.03) hardware realise of RGB2YCbCr)

基于IMM多模型结构的带自适应渐消因子及衰减因子的无忌卡尔曼滤波器。 适用于非线性、模型不准确、噪声不确定情况下滤波(IMM multi-band adaptive model structure based on fading factor and the attenuation factor of the wild and the Kalman filter. Applies to non-linear model is not accurate, noise filtering uncertainty)

悬置功能计算的，能量解耦的方法，优化及其位移的计算(The calculation of suspended function, energy decoupling method, optimization and calculation of displacement)

文件是 天线与电波传播 第3版 2017 的课件资源。 该书围绕天线与电波传播两大内容展开。全书共 14 章。前9章为天线部分，各章内容分别为：天线基础知识、简单线天线、行波天线、非频变天线、缝隙天线与微带天线、手机天线、测向天线、面天线、新型天线；后5章为电波传播部分，各章内容分别为：电波传播的基础知识、地面波传播、天波传播、视距传播、地面移动通信中接收场强的预测。(The document is the courseware resource of the third edition of antenna and radio wave propagation 2017. The book launches around two main contents: antenna and radio wave propagation. The book consists of 14 chapters. The first nine chapters are the antenna section, which includes the basic knowledge of antenna, simple wire antenna, traveling wave antenna, non-frequency-varying antenna, slot antenna and microstrip antenna, mobile phone antenna, direction finding antenna, surface antenna and new type antenna, and the last five chapters are the radio wave propagation section, which includes the basic knowledge of radio wave propagation, the ground. Wave propagation, sky wave propagation, line of sight propagation, and prediction of received field strength in ground mobile communication.)

说明：  最小均方自适应滤波算法（LMS）与归一化最小均方自适应滤波算法（NLMS）的对比(Comparison of Least Mean Square Adaptive Filtering Algorithm (LMS) and Normalized Least Mean Square Adaptive Filtering Algorithm (NLMS))

光谱分析中用到相关性分析和对环己烷、环己醇、环己酮、己二酸的PLS_STD方法建模，十分宝贵的matlab程序，对你的科研有着点睛之笔之效果。(This programmer is about how to deal with spectrosopy data .So it is very useful.It is about how to deal with the raw data,it is helpful to your science working.)

本matlab程序用惩罚函数法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program for solving the minimum multivariate model with penalty function method (given initial point and precision conditions).)