Comments (11)
That's indeed on my todo list for quite a while now. Currently, I'm working on some file I/O issues and I'm planning to add an export option for coefficients in second-order sections format (i.e. biquads). What would be most useful to you - exporting
- SOS coefficients as floats
- SOS coefficients as integers (this probably requires an additional gain factor per section to overcome scaling issues)
- header files with the coefficients in C format (example needed)
- C files with the actual filter topology (example needed, maybe even as a template as I'd like to generate ready to use filters from templates)
Contributing examples and / or templates would be most helpful!
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Thank you @chipmuenk
Actually I plan to use it for ARM CMSIS in floating point (f32) format (I don't use integer for signal processing anymore), where probably the most common way is direct form II.
https://www.keil.com/pack/doc/CMSIS/DSP/html/group__BiquadCascadeDF2T.html
To help you, maybe this blog post is quite interesting:
http://gaidi.ca/weblog/implementing-a-biquad-cascade-iir-filter-on-a-cortex-m4
also linking to this other post (where an octave implementation is also presented):
https://hackernoon.com/fast-iir-filtering-on-arm-cortex-m-with-cmsis-dsp-and-gnu-octave-qk1n3y66
Here the Github:
https://github.com/matteoscordino/iir-designer-cmsis-dsp?ref=hackernoon.com
From my point of view, pyfda will have a lot of acceptance within the ARM community with this Biquad feature!!
PS: This link is also nice for an example:
http://gaidi.ca/weblog/implementing-a-biquad-cascade-iir-filter-on-a-cortex-m4
from pyfda.
In case it helps with python, a couple of links from ARM, where even the CMSIS library could be used from python with a wrapper:
https://developer.arm.com/documentation/102463/0100
and a PDF (however for df1, not df2):
https://developer.arm.com/-/media/Arm%20Developer%20Community/PDF/How%20to%20use%20the%20Python%20wrapper%20for%20CMSIS-DSP%20with%20biquads%20as%20an%20example.pdf?revision=9a6360f1-e2eb-4d18-83d2-3825c9486dc1
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Thanks for all the links! If I understand you correctly, you would like to get the biquad coefficients in the format
{b10, b11, b12, a11, a12, b20, b21, b22, a21, a22, ...}
as floats as described in https://www.keil.com/pack/doc/CMSIS/DSP/html/group__BiquadCascadeDF2T.html ? That should be possible without a big effort.
from pyfda.
Yes, that could be a fantastic direct first step.
The idea later could be to use the CMSIS library wrapper for testing the embedded library coefficients with your graphic tool - so powerful and handy!!
Again, congratulations on your work on this awesome tool. I will use it with some of our internship students for filter designing (I try to avoid MATLAB as much as possible to provide them opensource engineering tools).
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Hello Christian.
I wonder if you had the time to include the biquad filters for ARMs processors.
Best regards
from pyfda.
Hello @chipmmuenk, do you plan on a new release any time soon?
Best Regards
from pyfda.
Sorry for leaving you waiting for so long - I'm justing implementing some Github Actions at the moment to automate building and releasing to PyPI and then there will be a full new release during the next week. The main branch already contains the CMSIS export, somewhat hidden in the CSV options and is fully functional. In my opinion a new tab / subwidget is required in the future to allow a.o. selecting the order of second order sections and setting fixpoint options.
from pyfda.
Thank you.
I am converting Pyfda in my preferred tool for filter designing (so fast and powerful!!)
However, I don't see how to get the CMSIS format export in the CSV.
What I see is the same coefficients as the npy format when I import it in python:
Maybe I am missing something?
On the other hand, do you have a time frame for implementing in the GUI the Biquad Cascade IIR Filters Using a Direct Form II Transposed format?
Like in Matlab:
https://es.mathworks.com/help/dsp/ref/dsp.biquadfilter-system-object.html
I am seeing that many embedded applications are porting into this format because they are a quite efficient implementation.
Regards
from pyfda.
I've started working on fixpoint filters again. The export option for CMSIS SOS format is implemented for quite a while now but it is hidden somewhat: Open CSV option (the little cog) in the b,a tab and select CMSIS SOS format.
Does this export format work for you?
Regards
from pyfda.
Since v0.9.0b1, coefficients can be saved directly in CMSIS SOS format via "save coefficients".
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Related Issues (20)
- exporting filter coefficients as numpy/zipped numpy fails silently HOT 2
- unexpected crash in input_coeffs.py HOT 6
- Crash when trying to open inset plot in H(f) HOT 2
- `bak`, `docs`, and `recipe` directories included in PyPI packages
- Save stimuli / responses from the y[n] tab in HDL formats
- fixpoint coefficients crash pyfda HOT 3
- Saving and loading (fixpoint) filters HOT 2
- Save/Load Table to/from file HOT 1
- Running flatpak fails with "No module named 'pyparsing' " HOT 1
- Single-sided spectra of complex-valued signals are not scaled correctly (y[n] tab) HOT 1
- Unhandeled IndexError HOT 1
- App crashes - Unhandeled Exception HOT 1
- Allow longer impulse / transient response timescales HOT 4
- add "filter" type delay for debugging and demonstrating effects of phase / delay
- ufunc 'logical_or' did not contain a loop with signature matching types (None, <class 'numpy.dtypes.StrDType'>) -> None HOT 1
- `get_cmap` not Available in matplotlib.cm
- Create basic test cases for PyQT widgets
- Generate Verilog / VHDL code for fixpoint filters using jinja templates
- Create widget for muliplierless filter
- pyfdax won't start with numpy 2.0 HOT 2
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