案例 GUI数据传递和多窗口编程

用MATLAB实现LMS自适应滤波器的e(n)^2的曲线及清楚LMS算法(LMS adaptive filter using MATLAB implementation of the e (n) ^ 2 and clear the curve of LMS algorithm)

说明：  在本系统中，信息序列在先经过FSK调制，经过截止频率为25kHz的低通滤波器后（把信号频率限制在25kHz），再进入混频器搬移到更高的频率发送出去，在接收端，用与发送端同步的跳频信号对其进行变频（跳频的解跳处理在此进行），取下边频，然后进行FSK的解调(In this system, the message sequence prior through FSK modulation, through the cut-off frequency of 25kHz after low-pass filter (to limit the frequency 25kHz), and then move into the mixer to a higher frequency to send out, at the receiving end used with frequency hopping synchronization signal transmitter carried on their conversion (FH' s solution to deal with this for jumping), take down side frequencies, then the demodulation of FSK)

各种数据拟合的程序，对初学者很有用。可以做各种图(A variety of data fitting procedure, useful for beginners.)

多径效应的时域表示实际上就是不同路径来的信号存在随机的时延差。对于抗其它扩频信号干扰性能，及抗多址干扰性能。我们这里考虑简单的情况，只考虑一个用户干扰的情况，说明其具有抗多址干扰性能就行。(Multipath effect is actually a time domain representation of the signal path to the existence of different random time delay difference. Other spread spectrum signal for the anti-interference performance, and anti-MAI performance. Here we consider the simplest case, considering only one user interference, indicating its performance with anti-multiple access interference on the line.)

协同PSO算法是运用协同组合方法，采用K均值来分类，PSO辅助来实现聚类分析(PSO algorithm is the use of collaborative synergistic combination of methods, the use of K-means to classify, PSO assisted to achieve clustering analysis)

包含了阵列信号处理的常见算法，插值与拟合，解方程，数据分析，粒子图像分割及匹配均为自行编制的子例程，加入重复控制，使用起来非常方便，分析了该信号的时域、频域、倒谱，循环谱等。

这是一本介绍matlab的电子书籍，内容较全面，比较易懂，适合matlab初学者使用。(This is a description of electronic books matlab, content more comprehensive, easier to understand for beginners to use matlab)

机载合成孔径雷达(SAR)多点目标回波信号仿真及RD成像仿真(airborn sar point target imaging)

MATLAB中关于典型相关分析的数据代码，希望对大家能有多多的用处(MATLAB, canonical correlation analysis of the data on the code, and I hope to have a lot of useful)

一种snake算法实现轮廓跟踪，可用于图像分割、目标识别等图像处理相关领域。(Of a snake contour tracking algorithm can be used for image segmentation, object recognition and other image processing related fields.)