Examples

MRAC for control systemes

基于Matlab的并联机器人运动学和动力学仿真研究资料(Parallel robot kinematics and dynamics simulation studies based on Matlab)

The idea of a filterbank on a non-linear(mel) frequency scale(filter bank for mel)

偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身(PLS is a principal component analysis, canonical correlation analysis and multiple linear regression analysis three kinds of analysis method has the advantage in a)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

基于MATLAB的数字均衡器 设计与实现 (MATLAB-based Design and Implementation of Digital Equalizer)

simple laboratory problem volved by matlab

LMMSE在信道均衡中的应用。设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号估计发送信号。(Application LMMSE channel equalization. set channel response is known. Linear MMSE estimation under linear model, the transmitted signal is estimated based on the observed signal.)

聚类分析（K-Means)程序实现及展现

matlab source code for codebook training