1、限幅滤波
/*A值可根据实际情况调整
value为有效值,new_value为当前采样值
滤波程序返回有效的实际值*/
#define A 10
char value;
char filter()
{
charnew_value;
new_value = get_ad();
if ( ( new_value - value > A ) || ( value - new_value > A )
return value;
return new_value;
}2、中位值滤波法
/*N值可根据实际情况调整
排序采用冒泡法*/
#define N11
char filter()
{
char value_buf[N];
char count,i,j,temp;
for ( count=0;count { value_buf[count] = get_ad(); delay(); } for (j=0;j { for (i=0;i { if ( value_buf>value_buf[i+1] ) { temp = value_buf; value_buf = value_buf[i+1]; value_buf[i+1] = temp; } } } return value_buf[(N-1)/2]; }3、算术平均滤波法 /* */ #define N 12 char filter() { intsum = 0; for ( count=0;count { sum + = get_ad(); delay(); } return (char)(sum/N); }4、递推平均滤波法(又称滑动平均滤波法) /* */ #define N 12 char value_buf[N]; char i=0; char filter() { char count; intsum=0; value_buf[i++] = get_ad(); if ( i == N )i = 0; for ( count=0;count sum = value_buf[count]; return (char)(sum/N); }5、中位值平均滤波法(又称防脉冲干扰平均滤波法) /* */ #define N 12 char filter() { char count,i,j; char value_buf[N]; intsum=0; for(count=0;count { value_buf[count] = get_ad(); delay(); } for (j=0;j { for (i=0;i { if ( value_buf>value_buf[i+1] ) { temp = value_buf; value_buf = value_buf[i+1]; value_buf[i+1] = temp; } } } for(count=1;count sum += value[count]; return (char)(sum/(N-2)); }6、限幅平均滤波法 /* */ 略 参考子程序1、37、一阶滞后滤波法 /* 为加快程序处理速度假定基数为100,a=0~100 */ #define a 50 char value; char filter() { charnew_value; new_value = get_ad(); return (100-a)*value + a*new_value; }8、加权递推平均滤波法 /* coe数组为加权系数表,存在程序存储区。*/ #define N 12 char code coe[N] = {1,2,3,4,5,6,7,8,9,10,11,12}; char code sum_coe = 1+2+3+4+5+6+7+8+9+10+11+12; char filter() { char count; char value_buf[N]; intsum=0; for (count=0,count { value_buf[count] = get_ad(); delay(); } for (count=0,count sum += value_buf[count]*coe[count]; return (char)(sum/sum_coe); } 9、消抖滤波法 #define N 12 char filter() { char count=0; char new_value; new_value = get_ad(); while (value !=new_value); { count++; if (count>=N)return new_value; delay(); new_value = get_ad(); } return value; }