OpenCVmex

利用matlab实现光纤的模式分布图的模拟。(Using matlab to achieve mode fiber distribution simulations.)

内含五个程序 1.zoeppritz Aki K I 和Richards P G的纵波近似程序 2.地震记录合成程序 3.大地电磁一维正演程序 4.雷克子波合成程序 5.地震反射系数生成程序(1.zoeppritz Aki KI and Richards PG longitudinal wave approximation procedures 2. Seismogram synthesis program 3. Magnetotelluric one-dimensional forward modeling program 4. Ricker wave synthesis procedure 5. Seismic reflection coefficient generator)

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

在这个压缩文件中，你能看到用两种方法仿真机器人动作的例子。(In this file you can find an example that simulated a robot with using two soft wares.)

IEEE Network Architecture

再matlab上实现基于扩频的数字水印。图像处理(This is a simple spread-spectrum based informed watermarking implementation in MATLAB. )

在四点星座图中，通过运用聚类的方式，实现对由于信道、噪声或其他原因出现随机偏移星座点的识别与归类。main.m为入口程序(The four-point constellation, the constellation points of the random offset due to channel noise or other reasons, through the use of clustering Identification and classification.)

利用拉普拉斯变换的思想，通过对数据进行差分，近似得到拉普拉斯变换后的结果，然后检查正负交换的位置，则此为极值点位置，利用此思想得到极值点的位置。(Using the ideas of Laplace transform of the data by the difference approximation get results Laplace transform, and then check the position of the positive and negative exchange, this is the extreme position, take advantage of this thinking of getting extreme points location.)

飞行仿真模型,Matlab环境中运行，可实现快速仿真，性能分析(Flight simulation model, Matlab environment, run, fast simulation, performance analysis can be achieved)

Another one usefull DTMF decoder model for Matlab Simulink with a lot of aux MathCAD computation.