随机生成多孔介质matlab程序(20191112164848)

神经网络进行预测matlab，很不错，值得看看(Neural network prediction matlab, very good, worth a look)

GNUradio中mimo实现，基于GNURadio3.3.0以及UHD(mimo in GNURadio based on GNURadio 3.3.0 and UHD)

利用梯度投影法解决有约束的目标函数优化问题(Gradient projection method for solving constrained optimization problem objective function)

说明：  供入门者使用的遗传算法程序，每个程序有详细的解释和说明，对刚步入研究生阶段的工科生有很好的帮助(A genetic algorithm program for beginners to use, each program has a detailed explanation and description, there is a good help for just entering the postgraduate students)

Navigation bar example

说明：  经典的music算法，用matlab实现(music in matlab)

说明：  基于matlab的turbo纠错码编码，包含多个调用函数(Matlab-error-correcting codes based on turbo coding, multiple call the function)

基于随机森林思想的组合分类器设计——乳腺癌诊断(Artificial Neural Networks)

LMS自适应滤波器算法(algorithm about LMS(least-Mean-squrt) adaptive signal processing)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)