gaimie_V0.2

说明：  数据挖掘经典算法matlab实现，补充代码！(Classical data mining algorithm matlab realize, supplementary code!)

matlab英文详细解读，内含如何操作软件，适合初学者使用(the matlab English detailed interpretation, includes how to operate the software, suitable for beginners to use)

说明：  算法应用于DOA估计，为典型music算法，仿真可通过！(The algorithm is applied to DOA estimation. It is a typical music algorithm. The simulation can be passed!)

说明：  Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。(AdaBoost is an iterative algorithm. The core idea of AdaBoost is to train different classifiers (weak classifiers) for the same training set, and then combine these weak classifiers to form a stronger final classifier (strong classifier).)

HI ..This is soft decision decoding for convolutional coding...nice and good code.

线性滤波器、均值滤波器、中值滤波器、梯度倒数滤波器的matlab源程序(Linear filter, mean filter, median filter, gradient countdown of the filter matlab source)

Power flow studies, commonly known as load flow, form an important part of power system analysis. They are necessary for planning, economic scheduling and control of an existing system as well as planning its future expansion. The problem consists of determining the magnitudes and phase angle of voltages at each bus and active and reactive power flow in each line. In solving power flow problem, the system is assumed to be operating under balanced conditions and a single-phase model is used. Four quantities are assumed at each bus. These are voltage magnitude v, phase angle  , real power P, and reactive power Q.The Newton Raphson method of load flow analysis is an iterative method which approximates the set of non-linear simultaneous equations to a set of linear simultaneous equations using Taylor’s series expansion and the terms are limited to first order approximation.

说明：  利用经典BP网络逼近一个多输入多输出的函数(The classical BP network to approach a multi-input multi-output function)

gilbert strang matlab Computational Science and Engineering

随机序列、白噪声序列、M序列产生程序，系统辨识中应用(Random sequence, white noise sequences, M sequences generated procedures, the application of system identification)