daq

matlab绘制CW信号的时域波形，同时对信号进行频谱分析，并考察采样频率以及信噪比对频谱分析的影响。(matlab draw CW signal time-domain waveform, and spectral analysis of signals and the sampling frequency and signal to noise ratio study of the impact of spectrum analysis.)

卡尔曼滤波与组合导航，比较经典的导航方面的教科书了(Kalman Filtering and Navigation)

C语言K近邻分类器KNN,有5个简单的例子供学习(knn classifier in C,5 simple examples are included)

在每一次小波变换中，都提取其中的“逼近信号”作为下次变换的输入，同时忽略掉其中的“细节信号”，即清除一次信号中包含的高频噪声分量。变换后的输出信号与原始信号相比，噪声起伏明显改善。(In every wavelet transform are extracted one of the " approximation signal" as the input of the next change, while ignoring one of the " details of the signal" , that is, a clear signal contains high frequency noise components. Transformed output signal compared with the original signal and noise fluctuations significantly improved.)

KPCA 的基本思想是将数据从输入空间映射到高维特征空间,然后在特征空间利用线性主成分分析方法计算主成分。本程序是KPCA的源程序，可实现调用。对于初学者或许有帮助。(The basic idea of KPCA is to map the data from the input space to high dimensional feature space, then in the feature space using principal component analysis method to calculate the linear principal components. This program is the source KPCA can achieve call. May be helpful for beginners.)

基于matlab的调制解调程序，适用于通信理论的初学者(Based on matlab modulation and demodulation process, communication theory for beginners)

电压暂降正周期有效值,是四案例工程中比较常见的算法。(t=0:0.0002:0.2 y=cos(100*pi*t) y1=0.5*cos(100*pi*t) y(200:600)=y1(200:600) for i=1:1:901 u(i)=sqrt(sum(y(i:i+99).^2)/100) end plot(u) xlable( 采样点数 ) ylable( u ) )

认知无线电当中非合作吞吐量与感知时间的关系，可以在Matlab环境中运行(Cognitive radio which the throughput of non-cooperation with the relationship of perceived time, you can run in the Matlab environment)

声子晶体线缺陷的程序，自己编写的很好用，给需要做声子晶体方面的同行参考(Phononic crystal line defect in the program, write your own good, need to make a sound sub-crystal counterparts reference)

这个不用多说，现在非常流行的一种迭代压缩感知重建算法。(Needless to say this, now very popular an iterative reconstruction algorithm for compressed sensing.)