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PaddleSpeech/audio/paddleaudio/third_party/kaldi-native-fbank/csrc/rfft.h

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1.6 KiB

/**
* Copyright (c) 2022 Xiaomi Corporation (authors: Fangjun Kuang)
*
* See LICENSE for clarification regarding multiple authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef KALDI_NATIVE_FBANK_CSRC_RFFT_H_
#define KALDI_NATIVE_FBANK_CSRC_RFFT_H_
#include <memory>
namespace knf {
// n-point Real discrete Fourier transform
// where n is a power of 2. n >= 2
//
// R[k] = sum_j=0^n-1 in[j]*cos(2*pi*j*k/n), 0<=k<=n/2
// I[k] = sum_j=0^n-1 in[j]*sin(2*pi*j*k/n), 0<k<n/2
class Rfft {
public:
// @param n Number of fft bins. it should be a power of 2.
explicit Rfft(int32_t n);
~Rfft();
/** @param in_out A 1-D array of size n.
* On return:
* in_out[0] = R[0]
* in_out[1] = R[n/2]
* for 1 < k < n/2,
* in_out[2*k] = R[k]
* in_out[2*k+1] = I[k]
*
*/
void Compute(float *in_out);
void Compute(double *in_out);
private:
class RfftImpl;
std::unique_ptr<RfftImpl> impl_;
};
} // namespace knf
#endif // KALDI_NATIVE_FBANK_CSRC_RFFT_H_