Realtime spectrum analyzer. Using FFT, linear prediction, or cepstrum smoothing. Version using MEMS microphone and CODEC, named "F746_RealtimeSpectrumAnalyzer_MEMS_Mic" is registered. リアルタイム スペクトル解析器.解析の手法:FFT,線形予測法,ケプストラムによる平滑化の3種類.このプログラムの説明は,CQ出版社のインターフェース誌,2016年4月号に掲載.外付けのマイクまたは他の信号源等を A0 に接続する.線形予測法,ケプストラムは,スペクトル解析の対象を音声信号に想定してパラメータを設定している.MEMS マイクと CODEC を使ったバージョンを "F746_RealtimeSpectrumAnalyzer_MEMS_Mic" として登録.
Dependencies: BSP_DISCO_F746NG BUTTON_GROUP LCD_DISCO_F746NG TS_DISCO_F746NG UIT_FFT_Real mbed
MyClasses/FFT_Analysis.cpp@3:7c26b701f363, 2015-12-14 (annotated)
- Committer:
- MikamiUitOpen
- Date:
- Mon Dec 14 13:44:42 2015 +0000
- Revision:
- 3:7c26b701f363
- Parent:
- 2:095b360e0f54
- Child:
- 4:99d4d5ea06a2
4
Who changed what in which revision?
User | Revision | Line number | New contents of line |
---|---|---|---|
MikamiUitOpen | 0:5c237fdcba23 | 1 | //------------------------------------------------------- |
MikamiUitOpen | 0:5c237fdcba23 | 2 | // Class for spectrum analysis using FFT |
MikamiUitOpen | 0:5c237fdcba23 | 3 | // |
MikamiUitOpen | 3:7c26b701f363 | 4 | // 2015/12/14, Copyright (c) 2015 MIKAMI, Naoki |
MikamiUitOpen | 0:5c237fdcba23 | 5 | //------------------------------------------------------- |
MikamiUitOpen | 0:5c237fdcba23 | 6 | |
MikamiUitOpen | 0:5c237fdcba23 | 7 | #include "FFT_Analysis.hpp" |
MikamiUitOpen | 0:5c237fdcba23 | 8 | |
MikamiUitOpen | 0:5c237fdcba23 | 9 | namespace Mikami |
MikamiUitOpen | 0:5c237fdcba23 | 10 | { |
MikamiUitOpen | 0:5c237fdcba23 | 11 | FftAnalyzer::FftAnalyzer(int nData, int nFft) |
MikamiUitOpen | 3:7c26b701f363 | 12 | : AnalyzerBase(nData, nFft, nFft), |
MikamiUitOpen | 0:5c237fdcba23 | 13 | xFft_(new float[nFft]), |
MikamiUitOpen | 0:5c237fdcba23 | 14 | yFft_(new Complex[nFft/2+1]) {} |
MikamiUitOpen | 0:5c237fdcba23 | 15 | |
MikamiUitOpen | 0:5c237fdcba23 | 16 | FftAnalyzer::~FftAnalyzer() |
MikamiUitOpen | 0:5c237fdcba23 | 17 | { |
MikamiUitOpen | 0:5c237fdcba23 | 18 | delete[] xFft_; |
MikamiUitOpen | 0:5c237fdcba23 | 19 | delete[] yFft_; |
MikamiUitOpen | 0:5c237fdcba23 | 20 | } |
MikamiUitOpen | 0:5c237fdcba23 | 21 | |
MikamiUitOpen | 0:5c237fdcba23 | 22 | void FftAnalyzer::Analyze(const float xn[], float yn[]) |
MikamiUitOpen | 0:5c237fdcba23 | 23 | { |
MikamiUitOpen | 0:5c237fdcba23 | 24 | wHm_.Execute(xn, xFft_); // Windowing and zero-padding |
MikamiUitOpen | 0:5c237fdcba23 | 25 | fft_.Execute(xFft_, yFft_); // Execute FFT |
MikamiUitOpen | 0:5c237fdcba23 | 26 | |
MikamiUitOpen | 0:5c237fdcba23 | 27 | // Translate to dB |
MikamiUitOpen | 0:5c237fdcba23 | 28 | for (int n=0; n<=N_FFT_/2; n++) |
MikamiUitOpen | 0:5c237fdcba23 | 29 | yn[n] = 10.0f*log10f(Norm(yFft_[n])); |
MikamiUitOpen | 0:5c237fdcba23 | 30 | } |
MikamiUitOpen | 0:5c237fdcba23 | 31 | } |
MikamiUitOpen | 2:095b360e0f54 | 32 |