Stopband edges — For IIR filters, define the filter by specifying frequencies for the edges of the stopbands. Half power (3dB) frequencies — For IIR filters, define the filter response by specifying the locations of the 3 dB points. The 3 dB point is the frequency for the point three decibels below the passband value.

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You can specify any filter order passing it as num_pole param to rtf_create_butterworth() function (as far as I remember the number of poles it's the same thing as filter order). UPDATE This library doesn't provide external API for coefficients calculation.

Filter design methods differ primarily in how performance is specified. For ﬁloosely specifiedﬂ requirements, as in the first case above, a Butterworth IIR filter is often sufficient. To design a fifth-order 30 Hz lowpass Butterworth filter and apply it to the data in vector x: [b,a] = butter(5,30/50); The Matlab code outputs the filter order and the filter coefficients. For this example, the Chebyshev filter order was nine. The elliptic filter had an order of five, and the Butterworth filter order was thirty-two. Several conclusions can be drawn about these low-pass filter designs from this simple example. Butterworth filter. Figure 2. Lag of a 3 Pole Gaussian Filter with a 10 Bar period Cutoff For an equivalent number of poles, the lag of a Gaussian filter is about half the lag of a Butterworth filter. More importantly, the higher frequency components have still less lag than the low frequency components. With Gaussian filters the lag as a ...