📄 keypiontall.m
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function [g,keypoint]=keypiontall(data,K,t)%function [ keyda1,keyda2,keydata ] = keypoint( data,m,n,t)%UNTITLED1 Summary of this function goes here% Detailed explanation goes here%keyda1 存储夹角方法取得的关键点%keyda2 存储幅值方法取得的关键点%data is the time series data which you want to search key point%m is the threshold value of angle%n is the threshold value of amplitude%t is the time per sample-rate%keyda1(:,1)=data(:,1);[d,n]=size(data); %d 为行,n 为例for i=1:dfor j=2:n-1 %求斜率 a=[data(i,j)-data(i,j-1)]/t; b=[data(i,j)-data(i,j+1)]/t; if a*b==1 e(i)=pi/2; else c=(b-a)/(1-a*b); e(j)=atan(c); %计算出的夹角 endend [f,ind]=sort(e); %夹角排序 g(i,:)=ind(1:K); end%hist [m,n]=hist(g,n-1); % the m record the element's times[a,b]=size(m)for i=1:ainde(i)=sum(m(i,:));end[p,q]=sort(inde);keypoint=q(1:K);
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