avi2image

基于Matlab语言的Monte_Carlo入门教程.用于初学者学习。有一定的指导意义。(Based on Matlab language Monte_Carlo Tutorial. For beginners. Have some significance.)

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

一种bss盲源信号分离的工具包 可以用于盲信号的提取(a blind source separation of the tool kit can be used for Blind Signal Extraction)

code for carlike vehicle

则卡尔曼滤波的算法流程为： 1.计算预估计协方差矩阵2.计算卡尔曼增益矩阵3.更新估计4.计算更新后估计协防差矩阵(The Kalman filter algorithm processes as follows: 1. Calculate pre-estimate covariance matrix 2 calculate the Kalman gain matrix 3 updated estimate calculated after 4 update estimated defend difference matrix)

for cross entropy implementation

分别选取远近不同的三幅图片，用同一种方法实现汽车车牌的提取(Were selected distance of three different images, using the same method to extract vehicle license plates)

QPSK仿真程序，调制解调，画出不同信噪比下的曲线。(QPSK simulation program, modulation and demodulation, draw curves under different signal-to-noise ratio.)

cic抽取滤波器的matlab软件仿真实现的源代码(cic decimation filter implementation matlab source code for software simulation)

模型是进行控制与稳定性分析的基础，可以服务于仿真、系统行为分析、系 统内在机理分析、控制、预测、监督与故障诊断等目的。因此，建立系统的模型 已成为许多科学研究与工程实施的首要问题。(Model is the basis for control and stability analysis, can serve simulation, system behavior analysis, the internal mechanism of the system analysis, control, forecasting, monitoring and troubleshooting purposes. Therefore, the establishment of the system model has been implemented for many scientific and engineering the most important issue.)