kuosanfangcheng

完整的蚁群算法，可以参考使用。。。。。。。。。。。。。。。(Ant colony algorithm)

里面有MATLAB控制工具箱的详细中文介绍，是控制领域人员学习MATLAB的绝好材料。(There are more Chinese introduction about MATLAB Control Toolbox, and it is an excellent material to learn MATLAB in the control area.)

matlab自编函数库，含有大量常用函数。。。。。。。。。。。。。。。。(self matlab function library containing a large number of commonly used functions. . . . . . . . . . . . . . . .)

Optical Scanning Holography with MATLAB - Ting Chung Poon

function of autoassociative neural network

基于matlab的运动目标的检测和图像处理(Moving target detection )

The interference alignment (IA) is a promising technique to efficiently mitigate interference and to enhance capacity of a wireless communication network. This paper proposes an interference alignment scheme for a network with multiple cells and multiple multiple-input and multiple output(MIMO) users under a Gaussian interference broadcast channel (IFBC) scenario.

功能描述： 小数延迟FIR滤波器，对参考阵元信号signal_ref进行 length(tau) M次延迟，分别得到M个阵元的采样信号 关键问题： 若τ 1.2Ts,则Delay(i) 2,tau_valid(i) 0.2Ts 若τ 0.6Ts,则Delay(i) 1，tau_valid(i) -0.4Ts 当tau_valid(i)>0或<0时，从卷积后的数据y_FIR_delay中取值启示位置不同 函数能够实现输入任意延时tau，输出信号波形与理想波形之间误差很小。( Description: fractional delay FIR filter array element of a reference signal signal_ref performed length (tau) M delay times, respectively, to obtain a sample signal array element M key question: if τ 1.2Ts, then Delay (i ) 2, tau_valid (i) 0.2Ts if τ 0.6Ts, then Delay (i) 1, tau_valid (i) - 0.4Ts when tau_valid (i)> 0 or < 0, the volume data y_FIR_delay product after the Enlightenment values at different positions function can be realized enter any delay error between tau, the output signal waveform and the ideal waveform is small.)

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )

线性相关 求逐月异常序列x(n,12)和y(n,12)(n是年)的相关系数r(24)，其中j=1～12是1～12个月的情形，13～22是冬、春、夏、秋、冬季逐月、春季逐月、夏季逐月、秋季逐月、逐月、年、冬半年逐月（NDJFMA）、夏半年逐月（MJJASO）的序列的情形。(Linearly related to demand monthly abnormal sequence x (n, 12) and y (n, 12) (n is the year) the correlation coefficient r (24), where j = 1 ~ 12 1 ~ 12 months is the case, 13 22 is a winter, spring, summer, autumn and winter month by month, month by month in spring, summer, month by month, the monthly fall, month by month, year, month by month in winter (NDJFMA), summer half year monthly (MJJASO) the sequence circumstances.)