mimo

Faddeev method made in Belarus

例4：在sinc(t)信号中叠加噪声，分析对应频谱 fs=100 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=2 时间窗大小 ( x=x+0.1*randn(1,N) x=awgn(x,-10, measured ) figure plot(t,x) title( 时域信号图 ) xlabel( t /s ) y=fft(x,N) figure if mod(N,2)~=0 N=N-1 end f=linspace(0,fs/2,N/2) plot(f,abs(y(1:N/2))*2/N) title( 叠加噪声的sinc(t)信号频谱 ) xlabel( f /Hz ) figure y0=y(1:N/2) P=y0.*conj(y0)/N P=10*log10(P) plot(f,P) title( 功率谱 ) xlabel( f /Hz ) )

视频跟踪检测 背景核密度估计建模，欢迎指正，谢谢(Detection of the background video track modeling kernel density estimation, please correct me, thank you)

主成分分析（PCA)算法是用于简化数据的一种技术,对于某些复杂数据就可应用主成分分析法对其进行简化。

连续搅拌釜式反应器过程的PCA故障检测与诊断(Continuous stirred tank reactor process fault detection and diagnosis of the PCA)

matlab的命令大全，详细提供matlab常用命令，非常实用(matlab command Daquan, a good thing)

鱼眼校正，用的MATLAB写的，可以直接用的(Fisheye correction, written in MATLAB,you can use directly)

小波包分析提取振动信号中的特征频率，有较好的参考价值，借鉴了主成分分析算法（PCA）。( Wavelet packet analysis to extract vibration signal characteristic frequency, There are good reference value, It draws on principal component analysis algorithm (PCA).)

说明：  MATLAB环境下的维纳滤波的程序，程序很详细的展示了如何使用维纳滤波器(MATLAB environment Wiener filtering program, the program shows in great detail how to use the Wiener filter)

ITs snr calculation for selective fading channel