Re: Are there firls and kaiser filter methods for C++ OOT?

Hi Marcin,

Thanks again for your help! I was a little busy and finally got around to looking at the two C++ fir filter documents you sent me.

I tried to design an OOT C++ FIR lowpass filter block based on my understanding of these documents but my code shows error (squidly). In the OOT C++ code, I included all the #include header files shown in the documents. Then using the first document above for the lowpass design, I wrote the following:

vector <float> lpfilter; 

then, I defined all the filter parameters (give them value) and tried to use the filter method:

lpfilter = gr::filter::firdes::low_pass(gain, sampling_freq, cutoff_freq, transition_bandwidth,

fft::window::win_type window = fft::window::win_type::WIN_HAMMING, beta = 6.76);

This failed and showed a squidly across the line with fft::window::win_type....! I also tried leaving off the gr::filter::firdes     

nothing worked and I included the fft window header file!

Please send me code examples if you have any that shows how to use these functions/methods.

One more question: on a search on the second document, it says the remez filter_types are: one of "bandpass", "hilbert" or "differentiator", I would have thought lowpass filters would be included??

Thank you!

George

On Mon, Feb 14, 2022 at 12:05 AM Marcin Puchlik <m.puchlik@is-wireless.com> wrote:

Hello George,

Yes, there is. Check this out:

https://www.gnuradio.org/doc/doxygen/firdes_8h_source.html

https://www.gnuradio.org/doc/doxygen/pm__remez_8h.html

BR, 

Marcin

pon., 14 lut 2022 o 00:07 George Edwards <gedwards.eng@gmail.com> napisał(a):

Hello GNURadio Community,

I am designing a Gnuradio OOT block in C++. Are there firls and kaiser filter methods (analogous to the scipy package methods that one would use in Python OOT) that I can call to generate coefficients.

Thank you!

Regards,

George