Comments (4)
Hello,
If an external solution is appropriate, python's scipy.signal.tf2zpk is compatible by all means with KFR and can be used to transform from tf to zpk representation. Or do you need a builtin function to do this at runtime?
Internal functions are absolutely ok for using in your code but may be changed/removed in future versions without any prior notice (not part of stable API).
from kfr.
Right, indeed I need builtin. I am using C++ language in my programs.
I have just implemented SOS, ZPK and TF conversion today. (but using GSL for solving polynomials)
I can prepare a PR if you want to implement it.
from kfr.
GSL is GPL-licensed and not compatible with a dual-licensed KFR. You can perfectly use GSL together with the KFR in your GPL-licensed project but pull request cannot be merged if the changes contains or depends on GPL-only code because of our commercial clients. All code that is contained in KFR repository must be allowed to be used/linked with closed-source proprietary software.
from kfr.
yes I definitely don't know whether kfr is able to solve polynomials, but this was the main limitation in my case.
from kfr.
Related Issues (20)
- Asymmetric Hann window HOT 3
- Polyphase filter bank HOT 2
- Internal compiler error HOT 3
- Minimum dft size HOT 1
- KFR Roadmap HOT 7
- Slow DFT (much slower than FFTW or IPP) HOT 2
- Building with clang-10 leads to warnings HOT 2
- Build failed on arm64 with -DKFR_ENABLE_CAPI_BUILD=ON in capi/CMakeFiles/kfr_capi.dir/capi.cpp.o HOT 9
- Cannot link kfr_dft
- Example request: FIR Overlap-Add
- Unable to properly link kfr_dft HOT 9
- Combine FIR filters in parallel HOT 2
- undefined reference to `void kfr::sse2::dft_initialize HOT 10
- using std::complex HOT 1
- [Planner Flags] FFTW_* option equivalent HOT 1
- Orphan #define statement in KFR6 HOT 1
- Build failed CAPI on Docker ubuntu22 with Clang HOT 1
- [SUGGESTION] Fingerprinting, resampling algos & more
- Need exmaples about fft2 HOT 1
- Build fails because of various C++ errors HOT 4
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from kfr.