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

Committer:
MikamiUitOpen
Date:
Mon Feb 22 13:54:51 2016 +0000
Revision:
18:6630d61aeb3c
Parent:
9:99c55850cb41
19

Who changed what in which revision?

UserRevisionLine numberNew contents of line
MikamiUitOpen 0:5c237fdcba23 1 //-------------------------------------------------------
MikamiUitOpen 0:5c237fdcba23 2 // Class for selecting spectrum analysis method and
MikamiUitOpen 0:5c237fdcba23 3 // displaying
MikamiUitOpen 0:5c237fdcba23 4 //
MikamiUitOpen 9:99c55850cb41 5 // 2015/12/29, Copyright (c) 2015 MIKAMI, Naoki
MikamiUitOpen 0:5c237fdcba23 6 //-------------------------------------------------------
MikamiUitOpen 0:5c237fdcba23 7
MikamiUitOpen 0:5c237fdcba23 8 #include "SpectrumDisplay.hpp"
MikamiUitOpen 0:5c237fdcba23 9 #include "FFT_Analysis.hpp"
MikamiUitOpen 0:5c237fdcba23 10 #include "LPC_Analysis.hpp"
MikamiUitOpen 0:5c237fdcba23 11 #include "CepstrumAnalysis.hpp"
MikamiUitOpen 0:5c237fdcba23 12 using namespace Mikami;
MikamiUitOpen 0:5c237fdcba23 13
MikamiUitOpen 0:5c237fdcba23 14 namespace Mikami
MikamiUitOpen 0:5c237fdcba23 15 {
MikamiUitOpen 0:5c237fdcba23 16 class Selector
MikamiUitOpen 0:5c237fdcba23 17 {
MikamiUitOpen 6:b27ef8d98edc 18 public:
MikamiUitOpen 9:99c55850cb41 19 Selector(SpectrumDisplay& disp,
MikamiUitOpen 9:99c55850cb41 20 int nData, int nFft, int order, int nLifter)
MikamiUitOpen 9:99c55850cb41 21 : disp_(disp), N_DATA_(nData),
MikamiUitOpen 6:b27ef8d98edc 22 sn_f_(new float[nData]), dbData_(new float[nFft/2+1])
MikamiUitOpen 6:b27ef8d98edc 23 {
MikamiUitOpen 6:b27ef8d98edc 24 obj_[0] = new FftAnalyzer(nData, nFft);
MikamiUitOpen 6:b27ef8d98edc 25 obj_[1] = new LpcAnalyzer(nData, nFft, order);
MikamiUitOpen 6:b27ef8d98edc 26 obj_[2] = new CepstrumAnalyzer(nData, nFft, nLifter);
MikamiUitOpen 6:b27ef8d98edc 27 }
MikamiUitOpen 6:b27ef8d98edc 28
MikamiUitOpen 6:b27ef8d98edc 29 ~Selector()
MikamiUitOpen 6:b27ef8d98edc 30 {
MikamiUitOpen 6:b27ef8d98edc 31 delete[] sn_f_;
MikamiUitOpen 6:b27ef8d98edc 32 delete[] dbData_;
MikamiUitOpen 6:b27ef8d98edc 33 for (int n=0; n<3; n++) delete obj_[n];
MikamiUitOpen 6:b27ef8d98edc 34 }
MikamiUitOpen 6:b27ef8d98edc 35
MikamiUitOpen 9:99c55850cb41 36 void Execute(const int16_t sn[], int touchedNum)
MikamiUitOpen 6:b27ef8d98edc 37 {
MikamiUitOpen 6:b27ef8d98edc 38 if (touchedNum >=0)
MikamiUitOpen 6:b27ef8d98edc 39 {
MikamiUitOpen 6:b27ef8d98edc 40 for (int n=0; n<N_DATA_; n++) sn_f_[n] = sn[n];
MikamiUitOpen 6:b27ef8d98edc 41 obj_[touchedNum]->Execute(sn_f_, dbData_);
MikamiUitOpen 6:b27ef8d98edc 42 disp_.Draw(dbData_);
MikamiUitOpen 6:b27ef8d98edc 43 }
MikamiUitOpen 6:b27ef8d98edc 44 }
MikamiUitOpen 6:b27ef8d98edc 45
MikamiUitOpen 0:5c237fdcba23 46 private:
MikamiUitOpen 0:5c237fdcba23 47 SpectrumDisplay& disp_;
MikamiUitOpen 0:5c237fdcba23 48 AnalyzerBase* obj_[3];
MikamiUitOpen 0:5c237fdcba23 49
MikamiUitOpen 0:5c237fdcba23 50 const int N_DATA_;
MikamiUitOpen 0:5c237fdcba23 51
MikamiUitOpen 0:5c237fdcba23 52 float* sn_f_;
MikamiUitOpen 0:5c237fdcba23 53 float* dbData_;
MikamiUitOpen 0:5c237fdcba23 54
MikamiUitOpen 4:99d4d5ea06a2 55 // disallow copy constructor and assignment operator
MikamiUitOpen 4:99d4d5ea06a2 56 Selector(const Selector& );
MikamiUitOpen 4:99d4d5ea06a2 57 Selector& operator=(const Selector& );
MikamiUitOpen 0:5c237fdcba23 58 };
MikamiUitOpen 0:5c237fdcba23 59 }