Normalized Frequency in Analog Filter Design.
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Hi Everyone,
I am trying to design a butterworth analog filter in MATLAB. In this particular case I require a 3dB freq of 5MHz and an attenuation of -40dB at 10MHz (no more than 3dB ripple which isnt a concern here due to the maximally flat nature of the butterworth.)
In the MATLAB manuals, it is mentioned that I need to use butter (n,Wn,'s') to get the poles of the filter. I am not quite sure what value of Wn I am supposed to use. Has it to be normalized to some particular frequency or do I use 5x10(^6) here?(in this case I get a k of extremely large value (something^(46))).
Can someone suggest what I should be using for Wn?
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Dídac Coll Pujals
2015-5-25
You're going to need an order 2 butterworth filter whose cutoff frequency is 10 Mhz. For example:
cutOff = 4999;
frequencySample = 10000;
Normalized = cutOff * 2 / frequencySample ;
order = 2;
[b,a]=butter (order,Normalized);
filteredData = filter[b,a,dataToFilter];
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Honglei Chen
2012-10-12
Normalized frequency is for digital filters. If you want to design analog filters, they don't apply. Like you mentioned, you should use the syntax with 's' at the end. To get Wn, you can use buttord function (also has an 's' syntax for analog filter).
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Walter Roberson
2012-10-12
Normalized frequency is a ratio of a specific frequency (e.g., the cutoff frequency for a filter) to twice the sampling frequency. For example, if the sampling frequency is 8000 Hz, and you want to filter at the 500 Hz point, then the normalized frequency would be 500/(2*8000) = 5/160
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Walter Roberson
2012-10-12
Cutoff frequency is that frequency where the magnitude response of the filter is sqrt(1/2). For butter, the normalized cutoff frequency Wn must be a number between 0 and 1, where 1 corresponds to the Nyquist frequency, π radians per sample.
david ebregbe
2012-11-26
since normalized frequency is relative, in matlab it's like it's relative to the nyquist rate, which means it should be 500*2/8000.
saqib
2012-10-12
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david ebregbe
2012-11-26
If the sampling frequency is 8000Hz which is usually the nyquist rate, then the frequency of your signal is 4000Hz. The normalized cut off frequency will be 500/4000 and not 500/(2*8000).
Kenny
2018-2-22
So does this mean that the word 'normalisation' such as seen in the so-called matlab help for topics like 'butterworth filter' means take your actual desired cutoff frequency, and divide by a normalising constant equal to HALF the sampling frequency?
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