LinAd

用MATLAB实现高斯白噪声系统输入信号的随机输出(Gaussian white noise with a MATLAB implementation of the random input output system)

main 是主函数! 运行即可 p184是一个示意图! 另外两个文件是滤波模型(main is the main function can be run p184 is a schematic diagram! The other two files are the filter model)

热传导方程几种差分格式的MATLAB数值解法比较(Numerical method for solving the heat conduction equation of several kinds of difference scheme of MATLAB )

HOME APPLICATION USING HAND GESTURE USING MATLAB PLATFORM.

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)

基于matlab平台实现,基于互功率谱的时延估计，含噪脉冲信号进行相关检测。( Based on matlab platform, Based on the time delay estimation of power spectrum, Noisy pulse correlation detection signal.)

自适应滤波lms算法，采用ask调制，三条多经信道，信噪比可调。(LMS adaptive filtering algorithm, using ask modulation, by more than three channels, signal to noise ratio adjustable.)

QAM调制与解调——包含了多种多进制的正交调制与解调(QAM modulation and demodulation- contains a variety of M-ary orthogonal modulation and demodulation)

概括了数模的几乎所有的经典算法，是建模必备的资料之一(Summarizes the number of modules in almost all of the classical algorithm, is one of modeling the information necessary )

这本书介绍了matlab在信号处理中的应用和例子，同时还讲解了信号处理中的一些重要原理，可以同时巩固大家的基础知识(This book introduces the matlab signal processing applications and examples, and also explain some of the important principles in the signal processing, you can consolidate all the basics)