a-er-fa-li-zi

说明：  遗传算法，MATLAB编的程序，希望对大家有用，所以传上来大家共享(Genetic algorithm, MATLAB allocation procedure, in the hope that useful, so Chuan-up share)

对已知的以为数据进行FFT变换，得到数据的频谱图，进而可分析出幅值和相角。(Known that the data FFT, the frequency spectrum of the data, which can be analyzed magnitude and phase angle.)

现代谱估计的ESPRIT、Music算法仿真(Modern Spectral Estimation ESPRIT, Music algorithm simulation)

在一个OFDM系统中,一大批正交、重叠,狭窄的subcarriers衰落、传递并联,除可用的传输带宽。分离的理论,subcarriers最小，这是一个非常紧凑的频谱利用率。OFDM主要是由于该系统如何处理多路径干扰在接收机。多路径生成 (In an OFDM scheme, a large number of orthogonal, overlapping, narrow band sub-channels or subcarriers, transmitted in parallel, divide the available transmission bandwidth. The separation of the subcarriers is theoretically minimal such that there is a very compact spectral utilization. The attraction of OFDM is mainly due to how the system handles the multipath interference at the receiver. Multipath generates)

为sinudoidal模型的AIC阶估计.AIC信息准则即Akaike information criterion，是衡量统计模型拟合优良性的一种标准，又由于它为日本统计学家赤池弘次创立和发展的，因此又称赤池信息量准则。它建立在熵的概念基础上，可以权衡所估计模型的复杂度和此模型拟合数据的优良性。 在一般的情况下，AIC可以表示为： AIC=2k-2ln(L) 其中：k是参数的数量，L是似然函数。 假设条件是模型的误差服从独立正态分布。 让n为观察数，RSS为剩余平方和，那么AIC变为： AIC=2k+nln(RSS/n) 增加自由参数的数目提高了拟合的优良性，AIC鼓励数据拟合的优良性但是尽量避免出现过度拟合(Overfitting)的情况。所以优先考虑的模型应是AIC值最小的那一个。赤池信息准则的方法是寻找可以最好地解释数据但包含最少自由参数的模型。(AIC order estimation for sinudoidal model)

for using this code need to use signal toolbox and general toolbox in your matlab Using Haar transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Haar transform and finding the SNR to see how well decompression works

变步长LMS算法，可以明显加快LMS收敛速度(Variable step size LMS algorithm, can significantly speed up the convergence rate of LMS)

说明：  用模拟退火算法解决tsp问题，适合初学者(With the simulated annealing algorithm to solve the problem tsp )

This is the matlab simulation of three phase inverter harmonic reduction technique.

radial basic function