利用simulink搭建线性二自由度车辆操纵模型

这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码，系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的，涉及到空间分集、时间分集和频率分集的有机结合，包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件，对各部分的都有详细的代码和注释。(It is used SIMULINK the S-FUNCTION approach to the preparation of the system simulation code, the system is based on the 4G network s core technology space-time block coded MIMO-OFDM communication system, involving spatial diversity, time diversity and frequency diversity of the organic combination, including QPSK modulation and demodulation, IFFT modulation, control of encoding and decoding, symbol-based channel estimation training and other communication module. Including main_STBC_MIMO_OFDM and training_symbol two M file and a DOC file, have detailed the various parts of the code and comments. )

滑模变结构控制的MATLAB仿真实例之二 (Sliding Mode Variable Structure Control of MATLAB simulation examples of the Second)

在matlab环境下基于bp网络的手写字母体的识别 (Bp in matlab network environment based on recognition of handwritten letters body)

Zernikz descriptors: the similarity measure based on the descriptor should deliver a similarity ordering that is close to the application driven notion of resemblance.

采用卡尔曼滤波的方式对时间进行预测，有较好预测精度(Kalman filter is used to predict the way time high prediction accuracy)

mean shift tracker mean shift tracker mean shift tracker mean shift tracker mean shift tracker

special trainig of a neural network

说明：  采用laplace算子点云滤波 采用laplace算子点云滤波(use laplace to filter point cloud data use laplace to filter point cloud data)

有效实行数据分类和图像分割的源码， 非常适合学习实用(image and data segmentation)

最新的基于S函数的变步长自适应滤波算法，比传统的算法收敛速度更快(The latest variable step adaptive filtering algorithm based on S function is faster than the traditional algorithm converges )