设计一个0.5~1Hz的IIR滤波器,用巴特沃斯或者契比雪夫2,看零极点图是稳定的。
设计如下:
Matlab
function Hd = iir_highpass_05_1_buter
%IIR_HIGHPASS_05_1_BUTER Returns a discrete-time filter object.
% MATLAB Code
% Generated by MATLAB(R) 9.5 and DSP System Toolbox 9.7.
% Generated on: 27-Nov-2023 20:11:44
% Butterworth Highpass filter designed using FDESIGN.HIGHPASS.
% All frequency values are in Hz.
Fs = 250; % Sampling Frequency
Fstop = 0.5; % Stopband Frequency
Fpass = 1; % Passband Frequency
Astop = 30; % Stopband Attenuation (dB)
Apass = 1; % Passband Ripple (dB)
match = 'stopband'; % Band to match exactly
% Construct an FDESIGN object and call its BUTTER method.
h = fdesign.highpass(Fstop, Fpass, Astop, Apass, Fs);
Hd = design(h, 'butter', 'MatchExactly', match);
% %
% % Get the transfer function values.
% [b, a] = tf(Hd);
% b
% a
% close all
% figure
% freqz(b,a);
% figure
% zplane(b,a);
% [H,w]=freqz(b,a);
% % [H,w]=freqz(b,a,5000);
% N = length(H);
% Hf=abs(H); %取幅度值实部
% Hx=angle(H); %取相位值对应相位角
% % clf
% figure
% % plot(w,20*log10(Hf)) %幅值变换为分贝单位
% plot([0:1/N:1-1/N]*Fs/2,20*log10(Hf)) %幅值变换为分贝单位
% title('离散系统幅频特性曲线')
% figure
% % plot(w,Hx)
% plot([0:1/N:1-1/N]*Fs/2,Hx);
% title('离散系统相频特性曲线')
% [EOF]
或:
Matlab
function Hd = iir_highpass_05_1_cheby2
%IIR_HIGHPASS_05_1_BUTER Returns a discrete-time filter object.
% MATLAB Code
% Generated by MATLAB(R) 9.5 and DSP System Toolbox 9.7.
% Generated on: 27-Nov-2023 20:10:02
% Chebyshev Type II Highpass filter designed using FDESIGN.HIGHPASS.
% All frequency values are in Hz.
Fs = 250; % Sampling Frequency
Fstop = 0.5; % Stopband Frequency
Fpass = 1; % Passband Frequency
Astop = 30; % Stopband Attenuation (dB)
Apass = 1; % Passband Ripple (dB)
match = 'stopband'; % Band to match exactly
% Construct an FDESIGN object and call its CHEBY2 method.
h = fdesign.highpass(Fstop, Fpass, Astop, Apass, Fs);
Hd = design(h, 'cheby2', 'MatchExactly', match);
%
% % Get the transfer function values.
% [b, a] = tf(Hd);
% b
% a
% close all
% figure
% freqz(b,a);
% figure
% zplane(b,a);
% % [H,w]=freqz(b,a);
% [H,w]=freqz(b,a,5000);
% N = length(H);
% Hf=abs(H); %取幅度值实部
% Hx=angle(H); %取相位值对应相位角
% % clf
% figure
% % plot(w,20*log10(Hf)) %幅值变换为分贝单位
% plot([0:1/N:1-1/N]*Fs/2,20*log10(Hf)) %幅值变换为分贝单位
% title('离散系统幅频特性曲线')
% figure
% % plot(w,Hx)
% plot([0:1/N:1-1/N]*Fs/2,Hx);
% title('离散系统相频特性曲线')
% [EOF]
可以得到滤波器系数a,b.
设计一个通用的双向滤波程序,包括滤波函数和数组逆序函数,包含可以和matlab对数据的写数据代码。主要有:
main.c
Matlab
#include"stdio.h"
#include"stdlib.h"
#include"math.h"
#include"highpass_iir_05_1.h"
#define M_PI 3.1415
#define N 200
#define F1 3
#define F2 40
//float fir_coef_b[5] = { 0.979965406517890, - 3.91970687664644, 5.87948294331178, - 3.91970687664644, 0.979965406517890 };
//float fir_coef_a[5] = { 1, - 3.95936787226356, 5.87908160514721, - 3.88004583425791, 0.960332197971774 };
float fir_coef_b[5] = { 1,2,1,3,1 };
float fir_coef_a[5] = { 1,1,1,1,1 };
int main()
{
// 生成正弦信号
float a[N] = { 0 }, b[N] = { 0 };
for (int i = 0; i < N; i++)
{
a[i] = (float)(sin(2 * M_PI * i * F1 / N) + 0.25 * sin(2 * M_PI * i * F2 / N));
}
FILE* fp;
fp = fopen("text.txt", "w");
if (feof(fp))
{
printf("NULL");
exit(0);//表示如果读取为空文件就正常退出
}
for (int i = 0; i < N; i++)
fprintf(fp, "%.6f\n", a[i]);
fclose(fp);
int m;
// 双向滤波
m = iir_filter_zhh(a, b, N, fir_coef_a, 5, fir_coef_b,5);
reverse_arry_float(b, N);
memcpy(a, b, N * sizeof(float));
m = iir_filter_zhh(a, b, N, fir_coef_a, 5, fir_coef_b, 5);
reverse_arry_float(b, N);
fp = fopen("text_fir.txt", "w");
if (feof(fp))
{
printf("NULL");
exit(0);//表示如果读取为空文件就正常退出
}
for (int i = 0; i < N; i++)
fprintf(fp, "%.6f\n", b[i]);
fclose(fp);
return 0;
}
highpass_iir_05_1.c
Matlab
#include"stdio.h"
#include"stdlib.h"
#include"string.h"
#include "assert.h"
// MATLAB函数
//function y = iir_filter_zhh(b, a, x)
//
//len_x = length(x);
//y = zeros(size(x));
//
//len_b = length(b);
//len_a = length(a);
//x_buf = [zeros(len_b - 1, 1); x];
//y_buf = [zeros(len_a - 1, 1); y];
//
//b_fir = fliplr(b);
//a_fir = fliplr(a);
//
//for i = 1:len_x
//y(i) = 1 / a_fir(end) * (b_fir * x_buf(i:i + len_b - 1) - a_fir(1:end - 1) * y_buf(i:i + len_a - 2));
//y_buf(i + len_a - 1) = y(i);
//end
//
//end
int iir_filter_zhh(float* sig_in, float* sig_out, int sig_len, float* a, int a_len, float* b, int b_len)
{
// 参数个数检查,至少3个至多5个参数.系统自行检查,参数个数不对及类型不对会自动报错。
assert(sig_len > 1);
assert(a_len > 1);
assert(b_len > 1);
int i, j;
float tmp1, tmp2;
float* sig_in_buf = (float*)malloc((size_t)(sig_len + b_len - 1) * sizeof(float));
if (sig_in_buf == NULL) {//判空
printf("sig_in_buf malloc error");//打印错误信息
return 1;
}
memset(sig_in_buf, 0, (size_t)(b_len - 1) * sizeof(float));
memcpy(sig_in_buf + b_len - 1, sig_in, (size_t)sig_len * sizeof(float));
float* sig_out_buf = (float*)malloc((size_t)(sig_len + a_len - 1) * sizeof(float));
if (sig_out_buf == NULL) {//判空
printf("sig_out_buf malloc error");//打印错误信息
return 1;
}
memset(sig_out_buf, 0, (size_t)(sig_len + a_len - 1) * sizeof(float));
for (i = 0; i < sig_len; i++) {
tmp1 = 0; tmp2 = 0;
for (j = 0; j < b_len; j++) {
tmp1 += sig_in_buf[i - j + b_len - 1] * b[j];
}
for (j = 1; j < a_len; j++) {
tmp2 += sig_out_buf[i - j + a_len - 1] * a[j];
}
sig_out[i] = (tmp1 - tmp2) / a[0];
sig_out_buf[i + a_len - 1] = sig_out[i];
}
free(sig_in_buf);
free(sig_out_buf);
return 0;
}
// 数组逆序 float版
void reverse_arry_float(float* arry, unsigned arry_len) // arry_len可以为1,不报错,此时arry只有一个元素,调用后不变
{
int i = 0; //循环变量1, i的值为数组第一个元素的下标
int j = arry_len - 1; //循环变量2, j的值为数组最后一个元素的下标
float fir_idx_buf; //互换时的中间存储变量
for (; i < j; ++i, --j) /*因为i和j已经初始化过了, 所以表达式1可以省略, 但表达式1后面的分号不能省。*/
{
fir_idx_buf = arry[i];
arry[i] = arry[j];
arry[j] = fir_idx_buf;
}
}
highpass_iir_05_1.h
Matlab
#pragma once
extern int iir_filter_zhh(float* sig_in, float* sig_out, int sig_len, float* a, int a_len, float* b, int b_len);
extern void reverse_arry_float(float* arry, unsigned arry_len);
matlab对数据代码:
Matlab
close all,clear,clc
% fs = 200;
% f1 = 3;f2 = 40;
% t = 0:1/fs:1-1/fs;
% x = sin(2*pi*t*f1)+0.25*sin(2*pi*t*f2);
fid=fopen('D:\zhh\work\VS projects\highpass_iir_05_1\text.txt'); %D:\zhh\work\VS projects\filter_int_v3
x=fscanf(fid,'%f');
fclose(fid);
filename = 'data.txt';
% dlmwrite(filename, x);
fid = fopen(filename, 'w');
for i=1:length(x)
fprintf(fid, '%.6f\n', x(i));
end
fclose(fid);
% Hd = iir_highpass_05_1_cheby2;
% % 直接matlab滤波
% [b, a] = tf(Hd);
b=[1,2,1,3,1 ];
a=[1,1,1,1,1 ];
y1 = iir_filter_zhh(b,a,x);
y2 = flipud( filter( b,a,flipud(y1) ) );
figure
plot(x);hold on
plot(y1);
figure
plot(x);hold on
plot(y2);
filename = 'data_fir.txt';
fid = fopen(filename, 'w');
for i=1:length(x)
fprintf(fid, '%.6f\n', y2(i));
end
fclose(fid);
zhh = 1;