sheildearth

oqpsk in awgn channel

duda 模式分类 第五章 上机练习代码（原创，不是网内流传的官方工具箱，比较全，大部分已调试）对应课后题的题号(Pattern Classification 2nd CH5 code practice)

利用matlab仿真汽车的泊车过程，利用GUI搭建汽车自动泊车系统，实现汽车导航与泊车(Using MATLAB to simulate the parking process of the car, using GUI to build auto parking system, realize the car navigation and parking.)

MATLAB三种卡尔曼滤波对比，分别是扩展卡尔曼滤波EKF，不敏卡尔曼滤波UKF，粒子滤波PF。有跟踪效果和估计值误差。(MATLAB the three Kalman filtering contrast, extended Kalman filter EKF, Unscented Kalman Filter UKF, particle filter PF. Tracking effect and the estimated value of the error.)

This set of scripts allows the shadowing of a building to be simulated. It allows the interference between two systems operating at the same frequency to be studied. This simulation can do two main types of simulations: 1. Animated simulation where we have a fixed system, with one or more transmitters, and a single mobile interfering user. The shadowing for the mobile user and the interference it generates can be studied. The animations store each frame as a JPG file, which can be imported in to a video editing package to be converted to a movie. 2. Interference between two systems at the same frequency, each with multiple transmitters

该语言由matlab实现，通过catia建模，并在其中进行网格划分，然后由程序读入，用物理光学法计算其雷达散射截面，该算法经多次使用验证。(The language by matlab to achieve, by catia modeling, meshing, and then read by the program, physical optics method to calculate the radar cross section, the algorithm repeatedly verified.)

在http://elib.zib.de/pub/Packages/mp-testdata/tsp/tsplib/tsp/上下载eil51地图，以eil51.tsp与源程序存在一起(at http :// elib.zib.de/pub/Packages/mp- testdata/t sp/tsplib/tsp/eil51 download maps, eil51.tsp to exist together with the source)

特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征(Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum)

说明：  基于当前统计模型的matlab程序仿真实现(Statistical model based on the current simulation matlab program to achieve)

实现多输出的支持向量机回归，不需要对每一个输出都进行函数回归(Multi-output support vector machine regression，Each output does not need to be a function of the regression)