webinar_files

k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

matlab时频分析工具箱，时频分析需要(Matlab time-frequency analysis toolbox, time-frequency analysis needs)

SampleGenerate.m 生成EM_data数据 GMM_EM_Main.m 执行EM temp2是测试如何求高斯密度的函数(SampleGenerate.m GMM_EM_Main.m temp2)

自动目标识别仿真程序，希望能对大家有所帮组！(Automatic target recognition simulation program, hoping it' ll be to help a group!)

说明：  实现理想维纳滤波和FIR滤波对比。其中信号s(n)=as(n-1)+w(n),a=0.95(Achieve the desired Wiener filter and FIR filter comparison. Where the signal s (n) = as (n-1)+ w (n), a = 0.95)

说明：  <最优化及matlab的应用>课后题的编程(Most optimized operating)

Multi-Instance Learning matlab code

Is-95 反向业务信道端到端simulink仿真(Is-95 reverse traffic channel end simulink simulation)

Lagrange algorithm for unit commitment problem, 5 machine system

语音信号处理中低通滤波器的设计程序，实现效果比较好。(Speech signal processing)