webcamprot

GUI示例,包括基本的GUI和右键弹出菜单的简单例子(GUI examples, including basic GUI and a simple example of the context menu)

Incrementally/decrementally update svm. very efficient!(Incrementally/decrementally update svm . very efficient!)

一维信号小波去噪，运用硬、软阈值进行去噪(One-dimensional signal wavelet de-noising, the use of hard and soft threshold de-noising)

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.)

自适应滤波中的最小均方误差算法（LMS)仿真程序，可以绘制梯度曲线.(Adaptive filtering in the minimum mean square error algorithm (LMS) simulation program, you can draw the gradient curve.)

说明：  讲解一些Matlab编程基础、Matlab的数据类型、MATLAB语言概述、矩阵和数组、图形基础内容(Learn some basic Matlab programming, Matlab data types, MATLAB language overview, matrix and array, based on the content of graphics)

数字信号处理的各主要部分知识点的MAtlab实现(Digital signal processing point of the main part of the knowledge to achieve MAtlab)

ofdma系统资源分配算法，很不错的文章，内容很全面(ofdma system resource allocation algorithm, a very good article, the content is very comprehensive)

1、编写M-文件Matlab函数，分析特定字符串中的单词数量和句子数量。 2、编写M-文件脚本，调用前面的M-文件函数，实现数据输入，结果输出。 3、编写GUI程序，调用步骤1中的Matlab函数，在界面上实现数据输入、结果输出。 (1, the preparation of the M-file Matlab functions, analysis of the number of words and sentences the number of a particular string. 2, the preparation of the M-file script, call the front of the M-file functions, data input, output. 3, to write a GUI program, Matlab function call in step 1, the data input interface, the resulting output.)

matlab教程PPT，初学者课一看一下(matlab tutorial PPT, a look at the beginners class )