fmsys

说明：  压缩感知compressivesensing2010jan12最新资料,研究其在图像处理模式识别 视觉编码及其硬件实现等，该研究成为2009-2010年国家自然科学基金重要的研究热点，我也刚刚开始涉及该信号处理基础方向(compressive sensing documents search in Feb 2010)

滑模Matlab的实例，对于初学者相当好用，可以借鉴一下。(Sliding Matlab examples, very useful for beginners, you can learn it.)

基于粒子群算法的pid控制，MATLAB仿真(Based on Particle Swarm Optimization pid control, MATLAB simulation)

计算你所指定的两个时间（通过Calender类型传入），之间所间隔的天数。指定一个时间的话则计算你指定的时间到当前时间的天数，在进度控制方面的程序中可能有用哦(Calculation of your two time specified (through the Calendar type imported), the interval between the number of days. Specify a time, then the calculation of the time you specify to the current time the number of days, in the progress of control procedures may be useful Oh)

本文使用浅显易懂的文字简要介绍了ofdm的基本原理，可以作为入门的参考资料(In this paper, the text easy to understand ofdm outlined the basic principles of the reference materials can be used as entry)

1.设计自适应信号分离器，用以从白噪声中提取周期信号。其中选取正弦信号s=sin(2*pi*t/10)为周期信号，宽带噪声信号为高斯白噪声，设置参考通道延迟为50。 2.宽带信号中的窄带干扰抑制实际上是自适应信号分离的一种应用，借助自适应信号分离器可以方便的实现窄带干扰的对消。(1. Design of adaptive signal separator, used to extract from the white noise periodic signal. The extraction of sinusoidal signals s = sin (2* pi* t/10) for periodic signals, broadband noise signal is Gaussian white noise, set the reference channel delay of 50. 2. Wideband signals in the narrow-band interference suppression is actually an application of adaptive signal separation, using adaptive signal separator can be easily achieved narrowband interference cancellation.)

说明：  美国关于自动测试中信号的描述信息，可以帮助理解自动测试的发展方向，对于基于信号的研究会有很大的帮助(In the United States on the automatic test signal descriptions to help understand the development of automated testing for the study based on the signal will be very helpful)

matlab在数学建模中的应用，有许多有用的算法，可以帮助需要参加数学建模工作的人快速建立模型并求解(matlab mathematical modeling, there are many useful algorithms, people need to participate in the mathematical modeling can help to quickly build the model and solving)

its aface detection matlab file

ZFFT的matlab实现，可以输入任意序列以及欲观察的频段进行观察。使用时请将解压后的文件放置到matlab目录下，通过调用函数ZFFT实现。(ZFFT matlab realize, you can enter any sequence and want to observe the band was observed.)