GCCLMS

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

关于OPNET里的一个仿真场景，还是可以参考一下，具体对新手还是比较适用的(OPNET in a simulation on the scene, or can refer to the specific comparison to the novice or the applicable)

可以将数据集按行任意调换顺序，给出了IRIS数据集及例子。(It can do any exchange data set in order, and give the IRIS data set and examples. )

Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint

NVH用7自由度模型，simulink，可重新设定参数(NVH model with seven degrees of freedom, simulink, can be re-set parameters)

viterbi算法，通过matlab工具实现，适合初学者学习(viterbi algorithm by Matlab tool for beginners to learn)

用于生成各种有色的噪声的非常实用的matlab程序(matlab simulation program)

MATLAB编程语言环境分析教程MATLAB programming language environment analysis tutorial(Programming language environment of MATLAB Tutorial MATLAB programming language environment analysis tutorial)

说明：  小波去噪程序，在别人的程序上有一定的修改，对于任意声音文件a.wav进行小波去噪。(Wavelet denoising procedure, in others there are certain procedural changes, for any sound file a.wav wavelet denoising.)

code for sattelite calculaton