Python使用scipy模块实现一维卷积运算示例

import numpy as npimport scipy.signalx = np.array([1,2,3])h = np.array([4,5,6])print(scipy.signal.convolve(x, h))#一维卷积运算

#include<iostream>#include<cstdio>#include<cstring>#include<cmath>#include<vector>#include<queue>#include<map>#include<algorithm>usingnamespace std;#define INF 0xfffffff#define maxn 100010int main(){int m=5,n=5;int a[5]={0,1,0,2,1},b[5]={0,1,0,2,1};int i,j;int k=m+n-1;//卷积后数组长度int c[k];memset(c,0,sizeof(c));//注意一定要清零/**卷积计算**/for(i=0; i<k; i++){for(j=max(0,i+1-n); j<=min(i,m-1); j++)c[i]+=a[j]*b[i-j];cout<<c[i]<<" ";}/****/cout<<endl;}