Application of multistage decimator filter to signal
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Dear all
We had a piece of code to decimate data (decimation ratio (dec_factor) > 13) that read:
Hfd=fdesign.decimator(dec_factor,'Nyquist');
Hm=design(Hfd,'multistage');
signal_output=filter(Hm,signal_input);
Matlad is warning that
Warning: Multistage design using fdesign.decimator will be removed. Use designMultistageDecimator instead.
So we are replacing the codewith:
Astop = 80;
TW = 0.03*fs_sampling/2;
Hm=designMultistageDecimator(dec_factor,fs_sampling,TW,Astop,'CostMethod','design');
We don´t know what to do with Hm in order to apply the filter to get signal_input.
Any ideas?
Thanks in advance
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回答(2 个)
Manikanta Aditya
2024-3-5
移动:Mathieu NOE
2024-3-5
The 'designMultistageDecimator' function in MATLAB returns a multistage decimator object, which you can use to filter your signal. The returned object 'Hm' is a multistage decimator object, and you can use it just like you used the 'Hm' object in your previous code.
Here’s how you can apply the filter to your signal:
signal_output = filter(Hm, signal_input);
This line of code applies the multistage decimator filter Hm to your input signal signal_input, and stores the result in 'signal_output'.
So, your complete code would look like this:
Astop = 80;
TW = 0.03*fs_sampling/2;
Hm = designMultistageDecimator(dec_factor, fs_sampling, TW, Astop, 'CostMethod', 'design');
signal_output = filter(Hm, signal_input);
4 个评论
Cláudio Jorge
2024-3-5
Thank you for your response.
I will incorporate a portion of the signal we're utilising, enabling to observe the errors that we had:
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dec_factor=50;
fs_sampling=200;
Astop = 80;
TW = 0.03*fs_sampling/2;
Hm = designMultistageDecimator(dec_factor, fs_sampling, TW, Astop, 'CostMethod', 'design');
signal_output = filter(Hm, signal_input);
Thanks in advance.
Paul
2024-7-24
M = 48;
Fin = 30.72e6*M;
Astop = 90;
BW = 1e7;
Fc = Fin/(2*M);
TW = 2*(Fc-BW);
c = designMultistageDecimator(M,Fin,TW,Astop)
This object does not have a filter method.
methods(c)
Instead, operate on an input by use the object like a function call, as shown at dsp.FilterCascade
u = rand(4800,1);
y1 = c(u);
Reset the object to use again from scratch
reset(c);
y2 = c(u);
isequal(y1,y2)
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