Realtime sound spectrogram using FFT or linear prediction. Spectrogram is displayed on the display of PC. リアルタイム・スペクトログラム.解析の手法:FFT,線形予測法.スペクトログラムは PC のディスプレー装置に表示される.PC 側のプログラム:F446_Spectrogram.
Dependencies: Array_Matrix mbed SerialTxRxIntr F446_AD_DA UIT_FFT_Real
MySpectrogram/LPC_Analyzer.cpp@0:a539141b9dec, 2017-02-17 (annotated)
- Committer:
- MikamiUitOpen
- Date:
- Fri Feb 17 04:55:10 2017 +0000
- Revision:
- 0:a539141b9dec
1
Who changed what in which revision?
User | Revision | Line number | New contents of line |
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MikamiUitOpen | 0:a539141b9dec | 1 | //------------------------------------------------------- |
MikamiUitOpen | 0:a539141b9dec | 2 | // Class for spectrum analysis using linear prediction |
MikamiUitOpen | 0:a539141b9dec | 3 | // |
MikamiUitOpen | 0:a539141b9dec | 4 | // 2017/02/11, Copyright (c) 2017 MIKAMI, Naoki |
MikamiUitOpen | 0:a539141b9dec | 5 | //------------------------------------------------------- |
MikamiUitOpen | 0:a539141b9dec | 6 | |
MikamiUitOpen | 0:a539141b9dec | 7 | #include "LPC_Analyzer.hpp" |
MikamiUitOpen | 0:a539141b9dec | 8 | |
MikamiUitOpen | 0:a539141b9dec | 9 | namespace Mikami |
MikamiUitOpen | 0:a539141b9dec | 10 | { |
MikamiUitOpen | 0:a539141b9dec | 11 | LpcAnalyzer::LpcAnalyzer(int nData, int nFft, int order) |
MikamiUitOpen | 0:a539141b9dec | 12 | : AnalyzerBase(nData, nFft, nData-1), order_(order), |
MikamiUitOpen | 0:a539141b9dec | 13 | lp_(nData-1, order), |
MikamiUitOpen | 0:a539141b9dec | 14 | an_(order), xFft_(nFft), yFft_(nFft/2+1) {} |
MikamiUitOpen | 0:a539141b9dec | 15 | |
MikamiUitOpen | 0:a539141b9dec | 16 | void LpcAnalyzer::Analyze(const float xn[], float yn[]) |
MikamiUitOpen | 0:a539141b9dec | 17 | { |
MikamiUitOpen | 0:a539141b9dec | 18 | float em; |
MikamiUitOpen | 0:a539141b9dec | 19 | lp_.Execute(xn, an_, em); |
MikamiUitOpen | 0:a539141b9dec | 20 | |
MikamiUitOpen | 0:a539141b9dec | 21 | // To spectrum |
MikamiUitOpen | 0:a539141b9dec | 22 | xFft_[0] = 1.0f; |
MikamiUitOpen | 0:a539141b9dec | 23 | for (int n=0; n<order_; n++) xFft_[n+1] = -an_[n]; |
MikamiUitOpen | 0:a539141b9dec | 24 | for (int n=order_+1; n<N_FFT_; n++) xFft_[n] = 0.0f; |
MikamiUitOpen | 0:a539141b9dec | 25 | fft_.Execute(xFft_, yFft_); // execute FFT |
MikamiUitOpen | 0:a539141b9dec | 26 | |
MikamiUitOpen | 0:a539141b9dec | 27 | // Translate to dB |
MikamiUitOpen | 0:a539141b9dec | 28 | for (int n=0; n<=N_FFT_/2; n++) |
MikamiUitOpen | 0:a539141b9dec | 29 | yn[n] = 10.0f*log10f(em/Norm(yFft_[n])); |
MikamiUitOpen | 0:a539141b9dec | 30 | } |
MikamiUitOpen | 0:a539141b9dec | 31 | } |