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Zero phase filtering of FIR from filter and Analysis Toolbox
How to control the length and sampling time of the output of ifft in MATLAB?Notch or Bandstop filter and preparing data for itFourier transform and LTI filter and frequency response in MatlabHow to apply a Gaussian filter to co-ordinate dataForcing multiple sets of constraints during filter designHow to calculate Roll-off and Ripple (Stop-band/Pass-band) from a filter in MATLAB?IFFT and frequency informationPhase Difference Between Two Sine Waves With Same FrequencyLow-pass Chebyshev type-I filter with ScipyChanging the inverse fast Fourier transform (ifft) to use an arbitrary waveform instead of sine waves to create a new signal
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How can i use filtfilt function in the following filter created by matlab filter analysis toolbox.My matlab is 2012.
Below is the syntax but i don't know the variables inside the parentheses 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);
matlab filter
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
add a comment |
How can i use filtfilt function in the following filter created by matlab filter analysis toolbox.My matlab is 2012.
Below is the syntax but i don't know the variables inside the parentheses 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);
matlab filter
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
add a comment |
How can i use filtfilt function in the following filter created by matlab filter analysis toolbox.My matlab is 2012.
Below is the syntax but i don't know the variables inside the parentheses 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);
matlab filter
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
How can i use filtfilt function in the following filter created by matlab filter analysis toolbox.My matlab is 2012.
Below is the syntax but i don't know the variables inside the parentheses 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);
matlab filter
matlab filter
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
asked Mar 24 at 12:23
Jomer SenorinJomer Senorin
33
33
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
The filtfilt command is not only made to apply FIR but also IIR filters.
As the FIR has no feedback, in contrast to the IIR filter, it only depends on the feedforward filter coefficients which are defined by b. (the feedback coefficients are represented by a)
As you are interested in applying it for a FIR filter you can set a=1;
So the answer to your question is:
b = firpm(N, Fo, Ao, W, dens);
a=1;
y = filtfilt(b,a,x)
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The filtfilt command is not only made to apply FIR but also IIR filters.
As the FIR has no feedback, in contrast to the IIR filter, it only depends on the feedforward filter coefficients which are defined by b. (the feedback coefficients are represented by a)
As you are interested in applying it for a FIR filter you can set a=1;
So the answer to your question is:
b = firpm(N, Fo, Ao, W, dens);
a=1;
y = filtfilt(b,a,x)
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
add a comment |
The filtfilt command is not only made to apply FIR but also IIR filters.
As the FIR has no feedback, in contrast to the IIR filter, it only depends on the feedforward filter coefficients which are defined by b. (the feedback coefficients are represented by a)
As you are interested in applying it for a FIR filter you can set a=1;
So the answer to your question is:
b = firpm(N, Fo, Ao, W, dens);
a=1;
y = filtfilt(b,a,x)
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
add a comment |
The filtfilt command is not only made to apply FIR but also IIR filters.
As the FIR has no feedback, in contrast to the IIR filter, it only depends on the feedforward filter coefficients which are defined by b. (the feedback coefficients are represented by a)
As you are interested in applying it for a FIR filter you can set a=1;
So the answer to your question is:
b = firpm(N, Fo, Ao, W, dens);
a=1;
y = filtfilt(b,a,x)
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
The filtfilt command is not only made to apply FIR but also IIR filters.
As the FIR has no feedback, in contrast to the IIR filter, it only depends on the feedforward filter coefficients which are defined by b. (the feedback coefficients are represented by a)
As you are interested in applying it for a FIR filter you can set a=1;
So the answer to your question is:
b = firpm(N, Fo, Ao, W, dens);
a=1;
y = filtfilt(b,a,x)
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
answered Mar 25 at 9:47
IrreducibleIrreducible
731820
731820
add a comment |
add a comment |
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