105 lines
3.5 KiB
C
105 lines
3.5 KiB
C
/*
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* This file is part of the micropython-ulab project,
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*
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* https://github.com/v923z/micropython-ulab
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*
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* The MIT License (MIT)
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*
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* Copyright (c) 2019-2021 Zoltán Vörös
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* 2020 Scott Shawcroft for Adafruit Industries
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* 2020 Taku Fukada
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*/
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#include <math.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include "py/runtime.h"
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#include "py/builtin.h"
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#include "py/binary.h"
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#include "py/obj.h"
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#include "py/objarray.h"
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#include "../carray/carray_tools.h"
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#include "fft.h"
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//| """Frequency-domain functions"""
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//|
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//| import ulab.numpy
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//| import ulab.utils
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//| def fft(r: ulab.numpy.ndarray, c: Optional[ulab.numpy.ndarray] = None) -> Tuple[ulab.numpy.ndarray, ulab.numpy.ndarray]:
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//| """
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//| :param ulab.numpy.ndarray r: A 1-dimension array of values whose size is a power of 2
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//| :param ulab.numpy.ndarray c: An optional 1-dimension array of values whose size is a power of 2, giving the complex part of the value
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//| :return tuple (r, c): The real and complex parts of the FFT
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//|
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//| Perform a Fast Fourier Transform from the time domain into the frequency domain
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//|
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//| See also `ulab.utils.spectrogram`, which computes the magnitude of the fft,
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//| rather than separately returning its real and imaginary parts."""
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//| ...
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//|
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#if ULAB_SUPPORTS_COMPLEX & ULAB_FFT_IS_NUMPY_COMPATIBLE
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static mp_obj_t fft_fft(mp_obj_t arg) {
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return fft_fft_ifft_spectrogram(arg, FFT_FFT);
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}
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MP_DEFINE_CONST_FUN_OBJ_1(fft_fft_obj, fft_fft);
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#else
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static mp_obj_t fft_fft(size_t n_args, const mp_obj_t *args) {
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if(n_args == 2) {
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return fft_fft_ifft_spectrogram(n_args, args[0], args[1], FFT_FFT);
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} else {
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return fft_fft_ifft_spectrogram(n_args, args[0], mp_const_none, FFT_FFT);
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}
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}
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MP_DEFINE_CONST_FUN_OBJ_VAR_BETWEEN(fft_fft_obj, 1, 2, fft_fft);
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#endif
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//| def ifft(r: ulab.numpy.ndarray, c: Optional[ulab.numpy.ndarray] = None) -> Tuple[ulab.numpy.ndarray, ulab.numpy.ndarray]:
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//| """
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//| :param ulab.numpy.ndarray r: A 1-dimension array of values whose size is a power of 2
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//| :param ulab.numpy.ndarray c: An optional 1-dimension array of values whose size is a power of 2, giving the complex part of the value
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//| :return tuple (r, c): The real and complex parts of the inverse FFT
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//|
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//| Perform an Inverse Fast Fourier Transform from the frequeny domain into the time domain"""
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//| ...
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//|
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#if ULAB_SUPPORTS_COMPLEX & ULAB_FFT_IS_NUMPY_COMPATIBLE
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static mp_obj_t fft_ifft(mp_obj_t arg) {
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return fft_fft_ifft_spectrogram(arg, FFT_IFFT);
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}
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MP_DEFINE_CONST_FUN_OBJ_1(fft_ifft_obj, fft_ifft);
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#else
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static mp_obj_t fft_ifft(size_t n_args, const mp_obj_t *args) {
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NOT_IMPLEMENTED_FOR_COMPLEX()
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if(n_args == 2) {
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return fft_fft_ifft_spectrogram(n_args, args[0], args[1], FFT_IFFT);
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} else {
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return fft_fft_ifft_spectrogram(n_args, args[0], mp_const_none, FFT_IFFT);
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}
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}
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MP_DEFINE_CONST_FUN_OBJ_VAR_BETWEEN(fft_ifft_obj, 1, 2, fft_ifft);
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#endif
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static const mp_rom_map_elem_t ulab_fft_globals_table[] = {
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{ MP_ROM_QSTR(MP_QSTR___name__), MP_ROM_QSTR(MP_QSTR_fft) },
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{ MP_ROM_QSTR(MP_QSTR_fft), MP_ROM_PTR(&fft_fft_obj) },
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{ MP_ROM_QSTR(MP_QSTR_ifft), MP_ROM_PTR(&fft_ifft_obj) },
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};
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static MP_DEFINE_CONST_DICT(mp_module_ulab_fft_globals, ulab_fft_globals_table);
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const mp_obj_module_t ulab_fft_module = {
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.base = { &mp_type_module },
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.globals = (mp_obj_dict_t*)&mp_module_ulab_fft_globals,
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};
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#if CIRCUITPY_ULAB
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MP_REGISTER_MODULE(MP_QSTR_ulab_dot_numpy_dot_fft, ulab_fft_module);
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#endif
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