Sodoku_solver

这是一篇ica盲源分离方法的技术文章 Overcomplete 的方法来解决(Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations)

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.)

matlab_gui实例讲解，针对于有一定基础的人员学习！(matlab_gui examples to explain, for staff based learning!)

fingerprint autneication

matlab gams is very nice

用matlab处理声音文件，详细讲述了从录音到成离散信号的过程。对matlab初学者很有帮助。(Sound files with matlab processing, from recording to detail into discrete signals. Matlab helpful for beginners. )

File is having matlab code for removing green pixel from image

iradon function with matlab

基于总体最小二乘ESPRIT算法的DOA估计的程序代码(Based on total least squares algorithm ESPRIT DOA estimation procedure code)

很细详细、全面的介绍了MATLAB，含有编程实例(This paper introduces MATLAB in detail and comprehensively, including programming examples.)