![]() To create zeros(z), poles(p) and coefficient(k) of the filter the following function is used: For the calculation you can use the following equation:Īfter the recalculation we get the following coefficients:īe careful how you import the values in Dewesoft as the values in the matrices are differently arranged. The values have to be divided with the correct gain factor. The 4:6 values represent the “b(Recur.)" coefficients, which have to be scaled/recalculated. The first three (1:3) values in the row represent the “a(input)” coefficients. To process the SOS matrix and gain vector, the data need to be exported in to the workspace.Įach row of the SOS matrix represents different section. In both cases a 6th order lowpass Butterworth IIR filter is created, with the cut-off frequency at 1000 Hz at 5000 Hz sample rate.Įxample #1: Creating filter with Filter Design & Analysis Tool ("filterDesigner", before Matlab version R2021b "fdatool")Įnter the settings for the chosen filter in the " filterDesigner", where ' Fs' presents sample rate and ' Fc' the cut-off frequency:Īfter filling in the desired data, create a filter with a click on a button “Design Filter”. Let's see how to correctly scale the factors on the following examples. ![]() All you have to do is scale the coefficients the right way. In Dewesoft, you can’t enter the gain separately so you have to include it in the filter coefficients. When creating filter in Matlab the filter coefficients are presented in SOS matrix form without considering the gain, which is calculated and presented separately. In Dewesoft we offer the possibility to import custom IIR filters created in other environments such as Matlab. Solution home Knowledge base Analyze Import filters from Matlab
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