Rob Kolstad
Given N, B, and D: Find a set of N codewords (1 <= N <= 64), each of length B bits (1 <= B <= 8), such that each of the codewords is at least Hamming distance of D (1 <= D <= 7) away from each of the other codewords. The Hamming distance between a pair of codewords is the number of binary bits that differ in their binary notation. Consider the two codewords 0x554 and 0x234 and their differences (0x554 means the hexadecimal number with hex digits 5, 5, and 4):
0x554 = 0101 0101 0100
0x234 = 0010 0011 0100
Bit differences: xxx xx
Since five bits were different, the Hamming distance is 5.
PROGRAM NAME: hamming
INPUT FORMAT
N, B, D on a single line
SAMPLE INPUT (file hamming.in)
16 7 3
OUTPUT FORMAT
N codewords, sorted, in decimal, ten per line. In the case of multiple solutions, your program should output the solution which, if interpreted as a base 2^B integer, would have the least value.
SAMPLE OUTPUT (file hamming.out)
0 7 25 30 42 45 51 52 75 76 82 85 97 102 120 127思路:从零开始,两两异或,如果异或后二进制数中1的个数大于D即输出
/*
ID: youqihe1
PROG: hamming
LANG: C++
*/
#include <iostream>
#include <fstream>
#include <string>
#include <string.h>
using namespace std;
int cal(int n)
{
unsigned int c =0 ;
for (c =0; n; ++c)
{
n &= (n -1) ; // 清除最低位的1
}
return c ;
}
int A[100];
int s=1;
int pow(int a,int n)
{
if(!n)
return 1;
int b=a;
while(--n)
a*=b;
return a;
}
int main() {
FILE *fin = fopen ("hamming.in", "r");
FILE *fout = fopen ("hamming.out", "w");
int N,B,D;
fscanf(fin,"%d %d %d",&N,&B,&D);
int i,j,k,n=pow(2,B)-1;
A[0]=0;
while(s<N)
{
for(i=A[s]+1;i<=n;i++)
{
int flag=1;
for(j=0;j<s;j++)
{
int a=A[j]^i;
if(cal(a)<D)
{
flag=0;
break;
}
}
if(flag)
{
A[s++]=i;
break;
}
}
}
k=0;
for(i=0;i<s/10;i++)
{
for(j=0;j<9;j++)
fprintf(fout,"%d ",A[k++]);
fprintf(fout,"%d\n",A[k++]);
}
for(i=0;i<s%10-1;i++)
fprintf(fout,"%d ",A[k++]);
if(s%10) fprintf(fout,"%d\n",A[k]);
return 0;
}
本文介绍了一种基于C++实现的Hamming码生成算法,该算法用于找出一组满足特定Hamming距离条件的二进制码字。通过计算两个码字之间的Hamming距离,确保每个码字与其他所有码字之间的差异足够大。
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