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- /**
- * 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.
- */
- // This file is copied/modified from kaldi/src/feat/feature-functions.h
- #ifndef KALDI_NATIVE_FBANK_CSRC_FEATURE_FUNCTIONS_H_
- #define KALDI_NATIVE_FBANK_CSRC_FEATURE_FUNCTIONS_H_
- #include <vector>
- namespace knf {
- // ComputePowerSpectrum converts a complex FFT (as produced by the FFT
- // functions in csrc/rfft.h), and converts it into
- // a power spectrum. If the complex FFT is a vector of size n (representing
- // half of the complex FFT of a real signal of size n, as described there),
- // this function computes in the first (n/2) + 1 elements of it, the
- // energies of the fft bins from zero to the Nyquist frequency. Contents of the
- // remaining (n/2) - 1 elements are undefined at output.
- void ComputePowerSpectrum(std::vector<float> *complex_fft);
- } // namespace knf
- #endif // KALDI_NATIVE_FBANK_CSRC_FEATURE_FUNCTIONS_H_
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