kalmtbx2

it is dsp programme to find overlap

关于FPE定阶，F检验定阶和自校正控制的程序，附有题目，适合入门的作业训练(About FPE order determination, F test order determination and self-tuning control of the program, with the subject, suitable for entry-job training)

采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) ( Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1) )

说明：  该函数用于演示BAS应用于路径规划, 当天牛跑到界外时，相当于跑一个非常大的反馈(This function is used to demonstrate the application of BAS to path planning)

MATLAB命令大全 实用书籍 MATLAB设计编程必备(MATLAB MATLAB command Guinness Book of Practical Design of programming required)

仿真雷达信号检测,虚警概率、检测概率、信噪比之间关系(simulink the detection of radar signal.relation between FAP、DP and SNR )

说明：  基本竞争学习算法的程序，是一种硬判决算法(Basic competitive learning algorithm program, is a hard decision algorithm)

fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost. [1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise," IEEE Trans. Pattern Anal., Machine Intell., vol. 4, no. 2, pp. 157-166, Mar. 1982.

This is my first upload which contain some stuff files from my final project.

《MATLAB神经网络30个案例分析》中的第19个例子，案例19 概率神经网络的分类预测-基于PNN变压器故障诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 19 example, 19 cases of probabilistic neural network classification prediction based on PNN transformer fault diagnosis. Hope to have certain help to everybody! )