kundur_12o3_v4

网上搜集MATLAB具有以下几个特点,里面有大量的实例，正在学的话，值得一看(online collection of MATLAB with the following characteristics, where there were numerous examples, is studying the case, an eye-catcher)

This is a Stata program that filters time series data using an approximation to the

This is a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32. Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons respectively and 1 layer output with 1 neuron.This program explains the step how to compute the ANN in off-line mode.Means the weights and biases are already exist (microcontroller is not doing the learning steps). These parameters are produced using MATLAB. Therefore, we have already made the appropriate architecture using MATLAB. The tansig function is use in both of hidden layer. Finally, the neural output will be displayed on LCD port C.

用matlab去模拟仿真物理光学的一个文献，挺不错的(Using matlab to simulate a physical optics simulation literature, very good)

gammatone滤波器，模拟人耳的滤波功能，处理由麦克风接收到的声音信号，获得其特征参数。(gammatone filter to simulate the human ear filtering, processing the received voice signal from the microphone to obtain the characteristic parameters.)

SuperParsing: Scalable Nonparametric Image Parsing with Superpixels　　文章对应的程序包(SuperParsing: Scalable Nonparametric Image Parsing with Superpixels article corresponding package)

高速车辆组合导航研究，主要研究卡尔曼滤波，扩展卡尔曼滤波(High-speed vehicle navigation research, major research Kalman filter, extended Kalman filter)

完成了对正交信号数字通信系统的蒙特卡罗仿真(Completed the quadrature signal of the Monte Carlo simulation of digital communication systems)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

用matlab编写得计算器，很好用得，不妨(Matlab prepared using a calculator, a very good use might be)