matlab_no1

LMS算法的MATLAB实现函数, 输入参数: xn 输入的信号序列 (列向量) dn 所期望的响应序列 (列向量) M 滤波器的阶数 (标量) mu 收敛因子(步长) (标量) 要求大于0,小于xn的相关矩阵最大特征值的倒数 itr 迭代次数 (标量)(LMS algorithm MATLAB realization function)

本系统主要是设计一个简单的比例放大器，使小车能以指定的速度运动。采用“自下而上”，“分层”建模思想而设计的。主要包括了理论分析与设计、仿真系统的创建、仿真结果、仿真操作说明、结论等五部分。使用Matlab7.1实现(This system is mainly to design a simple proportional amplifier, so the car can be specified speed of movement. " Bottom up" and " layered" modeling idea. Include theoretical analysis and design, the creation of the simulation system, the simulation results, simulation instructions, conclusions of five parts.)

this is the start casecade program. it is very useful for beginer.

this code is about Ensemble Empirical Mode Decomposition

说明：  提出一种受灰狼（Canis lupus）启发的新的元启发式方法，称为灰狼优化器（GWO）。 GWO算法模仿自然界中灰狼的领导等级和狩猎机制。(This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.)

detect edes by canny edge detection based method

对数据先进行经验模态分解得到不同特征尺度的信号分量，然后对所有的信号分量用AR模型进行预测得到预测后的分量，然后将预测后的分量进行重构得到最终的预测信号。(The data first empirical mode decomposition characteristics of the signal components of different scales, and then for all signal components obtained by AR model to predict the component forecasts, and then predict the components are reconstructed to obtain final predicted signal.)

malab programa monteclaro

This is Matlab code for clustering using Self Organizing Map

压缩感知可以用远低于奈奎斯特速率对信号进行采样，然后用重构算法对测量的信号进行重构，这程序就是CS的重构算法。(Compressed sensing can be used far less than the Nyquist sampling rate of the signal, and then use the measurement signal reconstruction algorithm to reconstruct this program is CS reconstruction algorithms.)