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最小均方误差LMS算法的MATLAB实现代码基本 代码 (LMS basic code)

地球物理勘探中重力资料解释的主要目的是由地表观测值推断地下可能存在的密度分布。众所周知,任何一组重力数据都可能由无数个密度分布所引起。即使假设了重力异常是由具有均匀密度差的单一地质体产生的,也得不出唯一的解。画图(Gravity geophysical exploration data interpretation main purpose is inferred from surface observations may exist underground density distribution. Is known, any set of data may be provided by gravity density caused numerous. Even assuming that the gravity anomaly is determined by having a uniform density difference arising from a single geological body, they have no unique solution. Paint)

粒子势垒隧穿算法，与退火原理基本一样，这是解决旅行商问题的源代码。(Particle tunneling barrier algorithm, and annealing the same basic principle, which is to solve the traveling salesman problem' s source code.)

水果图像的分类处理，与以往不同的是改程序可以直接对图片进项处理(Fruit image classification, and different from the past to change the program proceeds directly to the picture processing)

MATLAB 下室内3d 4天线 干扰抑制测试。(Indoor 3d 4 under MATLAB antenna interference suppression test.)

this code generates flicker signal

该程序用于将OMNI原始数据转换为mat格式的数据(The program for OMNI raw data is converted to the mat format data)

《精通MATLABSimulink系统仿真》主要分为三大部分，共15章。第1部分主要介绍MATLAB基础知识、Simulink仿真入门、 Simulink模型的建立与仿真、Simulink常用命令库分析等；第二部分主要为基于Simulink的S-Function 建模、控制系统Simulink仿真、基于PID的控制系统仿真等；第三部分则涉及Simulink高级应用，包括模糊逻辑控制仿真、电力系统仿真、通信系统仿真、神经网络控制仿真、滑模控制、车辆系统仿真、群智能算法控制系统仿真等。(The MATLABSimulink system simulation is mainly divided into three parts, with 15 chapters. The first part mainly introduces the basic knowledge of MATLAB, the introduction of Simulink simulation, the establishment and Simulation of the Simulink model, the analysis of the common command base of Simulink, and so on. The second part mainly consists of Simulink based S-Function modeling, the control system Simulink simulation, and the PID based control system simulation, and the third part deals with the Simulink senior should. It includes fuzzy logic control simulation, power system simulation, communication system simulation, neural network control simulation, sliding mode control, vehicle system simulation, swarm intelligence algorithm control system simulation and so on.)

转置，就是一个转置，没有别的东西，还要说点什么！！！！(Transpose thank you very much！！！)

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)