ampd算法-c語(yǔ)言文檔

ampd算法c語(yǔ)言一、ampd算法原理ampd算法全稱(chēng)為AsymmetricMaximumPeakDetection，是一種非參數(shù)的自適應(yīng)峰值檢測(cè)算法。該算法通過(guò)迭代地計(jì)算序列的均值和方差，來(lái)確定序列中的峰值點(diǎn)。ampd算法的核心思想是通過(guò)不斷地減小序列的長(zhǎng)度，找到序列中的極大值點(diǎn)。具體來(lái)說(shuō)，ampd算法的步驟如下：1.初始化：將輸入序列進(jìn)行歸一化處理。2.計(jì)算差分序列：將歸一化后的序列與其向前一位進(jìn)行差分運(yùn)算，得到差分序列。3.計(jì)算峰值點(diǎn)：遍歷差分序列，找到極大值點(diǎn)。極大值點(diǎn)的定義是：當(dāng)前點(diǎn)的差分值大于前后兩個(gè)點(diǎn)的差分值。4.縮減序列長(zhǎng)度：刪除峰值點(diǎn)前后的數(shù)據(jù)，得到新的序列。5.終止條件：若序列長(zhǎng)度小于等于2，則停止迭代。6.重復(fù)步驟2-5，直到滿(mǎn)足終止條件。二、ampd算法實(shí)現(xiàn)下面是ampd算法的C語(yǔ)言實(shí)現(xiàn)代碼：```c#include<stdio.h>voidampd(int*sequence,intlength){inti,j,k;int*diff=(int*)malloc((length-1)*sizeof(int));int*peaks=(int*)malloc(length*sizeof(int));int*new_sequence=(int*)malloc(length*sizeof(int));intnew_length=length;intmax_diff,max_diff_index;//歸一化處理intmin=sequence[0];intmax=sequence[0];for(i=1;i<length;i++){if(sequence[i]<min){min=sequence[i];}if(sequence[i]>max){max=sequence[i];}}for(i=0;i<length;i++){sequence[i]=(sequence[i]-min)/(max-min);}while(new_length>2){//計(jì)算差分序列for(i=0;i<new_length-1;i++){diff[i]=sequence[i+1]-sequence[i];}//找到差分序列中的峰值點(diǎn)j=0;for(i=1;i<new_length-1;i++){if(diff[i]>diff[i-1]&&diff[i]>diff[i+1]){peaks[j++]=i;}}peaks[j++]=0;peaks[j]=new_length-1;//找到差分序列中差分值最大的峰值點(diǎn)max_diff=diff[peaks[1]];max_diff_index=peaks[1];for(k=2;k<j;k++){if(diff[peaks[k]]>max_diff){max_diff=diff[peaks[k]];max_diff_index=peaks[k];}}//縮減序列長(zhǎng)度f(wàn)or(i=0;i<max_diff_index;i++){new_sequence[i]=sequence[i];}for(i=max_diff_index;i<new_length-1;i++){new_sequence[i]=sequence[i+1];}new_length--;//將新序列復(fù)制給原序列for(i=0;i<new_length;i++){sequence[i]=new_sequence[i];}}//輸出峰值點(diǎn)printf("峰值點(diǎn)：");for(i=0;i<new_length;i++){printf("%d",peaks[i]);}printf("\n");free(diff);free(peaks);free(new_sequence);}intmain(){intsequence[]={1,3,4,2,5,1,6,2};intlength=sizeof(sequence)/sizeof(sequence[0]);ampd(sequence,length);return0;}```以上是ampd算法的C語(yǔ)言實(shí)現(xiàn)，首先對(duì)輸入序列進(jìn)行歸一化處理，然后通過(guò)迭代計(jì)算差