如何在matlab过滤器分析工具箱创建的以下过滤器中使用filtfilt函数。我的matlab是2012年。 下面是语法,但是我不知道括号内的变量y = filtfilt(b,a,x)y = filtfilt(sos,g,x)y = filtfilt(d,x)
% MATLAB Code
% Generated by MATLAB(R) 8.2 and the Signal Processing Toolbox 6.20.
% Generated on: 18-Mar-2019 12:11:31
% Equiripple Lowpass filter designed using the FIRPM function.
% All frequency values are in Hz.
data = xlsread('Smoothendata2.xlsx',1);% read csv content
d1 = data(:,1); % Original Time Vector
d2 = data(:,2); % Original Data Vector
L = length(d1);
tv = linspace(min(d1), max(d1), L); % Time Vector For Interpolation
dv = interp1(d1, d2, tv, 'linear'); % Interpolated Data Vector
Ts = mean(diff(tv)); % Sampling Time Interval
t_stats = [Ts std(tv)];
Fs = 1/Ts; % Sampling Frequency
Fn = Fs/2; % Nyquist Frequency
FTD = fft(dv)/L; % Fourier Transform
Fv = linspace(0, 1, fix(L/2)+1)*Fn; % Frequency Vector
Iv = 1:length(Fv); % Index Vector
figure(1)
semilogy(Fv, abs(FTD(Iv))*2) % Plot Fourier Transform
grid
xlabel('Frequency (Hz)')
ylabel('Amplitude')
%
Fpass = 50; % Passband Frequency
Fstop = 60; % Stopband Frequency
Dpass = 0.17099735734; % Passband Ripple
Dstop = 1; % Stopband Attenuation
dens = 20; % Density Factor
% Calculate the order from the parameters using FIRPMORD.
[N, Fo, Ao, W] = firpmord([Fpass, Fstop]/(Fs/2), [1 0], [Dpass, Dstop]);
% Calculate the coefficients using the FIRPM function.
b = firpm(N, Fo, Ao, W, {dens});
Hd = dfilt.dffir(b);
答案 0 :(得分:0)
filtfilt
命令不仅适用于FIR,而且适用于IIR滤波器。
由于FIR没有反馈,因此与IIR滤波器相反,它仅取决于b
定义的前馈滤波器系数。 (反馈系数由a
表示)
您有兴趣将其应用于FIR滤波器时,可以设置a=1
;
所以您的问题的答案是:
b = firpm(N, Fo, Ao, W, {dens});
a=1;
y = filtfilt(b,a,x)