code5

Calculate the periodogram

CDMA中多用户相关的一些仿真研究，有相关文档及MATLAB程序可供学习(CDMA Multi-user related to a number of simulation studies, with relevant documentation, and MATLAB programs for learning)

很好的Matlab入门教程，非常适合初学者！(Matlab Tutorial good, very suitable for beginners!)

学习MATLAB的simulink工具箱时会经常遇到的问题，很好很受用，肯定对初学者有帮助。(MATLAB-simulink toolbox learning problems often encountered when, well popular with, certainly helpful for beginners.)

加带通滤波器的FFT开源代码，附带批处理程序(FFT band-pass filter plus open-source code, with a batch process)

FASTICA算法从多维信号中估计其独立分量。FASTICA采用Hyvarinen的定点算法实现。(FASTICA(mixedsig) estimates the independent components given multidimensional signals. Each row of matrix mixedsig is one observed signal. FASTICA uses Hyvarinen s fixed-point algorithm. )

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.)

by using this source code we can detect the edges of the image...which helps in the medical field and in satellite.

EOF分析的一个基础，里面有matlab基础的程序(EOF analysis based on matlab program)

分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。(The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used for classification as well as for function estimation. The function plotlssvm displays the simulation results of the model in the region of the training points.)