MRAC1

基于matlab的Turbo码仿真，并绘出BER曲线(Turbo decode and encode by matlab)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

数值积分方法计算积分方程，利用复化辛普森公式离散积分项(Integral equation numerical integration method, the use of complex discrete integral term of Simpson formula)

说明：  径向基神经网络代理模型训练与预测，本实例以地下水位的预测为例进行说明(The training and prediction of agent model based on radial basis function neural network is illustrated by the example of groundwater level prediction)

Approximate entropy analysis of biological signals of the advantages of time series parameters of the approximate entropy, ApEn describes the application of the medical situation and prospects. Methods: According to the definitions and algorithms, introduced approximate entropy and correlation dimension, fractal dimension

外国一个大学生做了一个精确定位系统，这个系统几乎可以跟踪镜头里的任何物体。只要你能看见它，并把它选中。有兴趣的同学可以下载我传上来的源文件...是用matlab写的...demo文件也在里面 (A foreign university students made a precise positioning system that can track almost any object lens. As long as you can see it, and to select it. Interested students can download the source files I pass up ... with matlab ... demo files are written inside)

一个估计garch（1,1）的matlab程序(matlab code for estimating garch（1,1）)

M e t a h e u r i s t i c 算法的实例，(M etaheuristic algorithm instance,)

simulink tutorial for matlab

QPSk MOdulation SNR and BER