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xsa
Dependencies: mbed ADXL345 CMSIS_DSP_5
Revision 0:4d6a495f372c, committed 2020-07-09
- Comitter:
- alirezamostafavi
- Date:
- Thu Jul 09 21:55:41 2020 +0000
- Commit message:
- man;
Changed in this revision
diff -r 000000000000 -r 4d6a495f372c ADXL345.lib --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/ADXL345.lib Thu Jul 09 21:55:41 2020 +0000 @@ -0,0 +1,1 @@ +https://os.mbed.com/users/aberk/code/ADXL345/#bd8f0f20f433
diff -r 000000000000 -r 4d6a495f372c CMSIS_DSP_5.lib --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/CMSIS_DSP_5.lib Thu Jul 09 21:55:41 2020 +0000 @@ -0,0 +1,1 @@ +https://os.mbed.com/users/xorjoep/code/CMSIS_DSP_5/#4098b9d3d571
diff -r 000000000000 -r 4d6a495f372c main.cpp --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/main.cpp Thu Jul 09 21:55:41 2020 +0000 @@ -0,0 +1,440 @@ +#include "mbed.h" + +#include "math.h" +#include "arm_math.h" +#include "ADXL345.h" +#define NUM_SAMPLES 2048 + +ADXL345 accelerometer(PB_5, PB_4, PB_3, PG_11); +Ticker flipper1; +Serial pc(SERIAL_TX, SERIAL_RX,115200); +Ticker flipper2; + +DigitalOut led(LED1); +DigitalOut led2(LED2); +int readings[3] = {0, 0, 0}; +int x[10000]; +float fs=400; +float nnn=2048; +float avgx=0; +float N=NUM_SAMPLES; +float df=fs/N; +float sumx[8]={0,0,0,0,0,0,0,0}; +float sumy[8]={0,0,0,0,0,0,0,0}; +float sumz[8]={0,0,0,0,0,0,0,0}; + +int y[10000]; +int z[10000]; +q31_t left[NUM_SAMPLES]; +q31_t meanx=0; +q31_t leftComplex[2*NUM_SAMPLES]; +q31_t leftFFT[2*NUM_SAMPLES]; +float auxFloat[2*NUM_SAMPLES]; +q31_t leftFFTAbs[NUM_SAMPLES]; +q31_t right[NUM_SAMPLES]; +q31_t xxx[NUM_SAMPLES]; +int xxx1[NUM_SAMPLES]; + +q31_t *poi ; +//poi=(q31_t *)xxx; + +q31_t yyy[NUM_SAMPLES]; +q31_t zzz[NUM_SAMPLES]; + +int i,j,k=0; +int v=0; + +float sum11=0; +float avg = 0; +float avg1 = 0; +int avg2 = 0; +int sum1=0; +float sum2=0; + +void flip1() { // flip 1 function + accelerometer.getOutput(readings); + x[i]=readings[0]; + y[i]=readings[1]; + z[i]=readings[2]; + i++; +} + + //foo = &xxx; + + + +void flip2() { + + if(i>2048 && v==0) + { + led=1; + for(int jj=0;jj<2048;jj++) + { + xxx[jj]=x[jj]; + xxx1[jj]=x[jj] ; + yyy[jj]=y[jj]; + zzz[jj]=z[jj]; + } + //forwardStepDaub(xxx1,4); + //arm_mean_q31(xxx,2048,meanx); + + + + ///float ab=0.0004882; + //float sum2[1]={0}; + //int num = 2048; + //arm_q31_to_float (xxx, xxx1, 2048); + + //avg = (sum/2048); +// +// for(int jj=0;jj<2048;jj++) +// { +// xxx[jj]=xxx[jj]-avg; +// +// } + + + + + i=0; + for(int nn=0;nn<2048;nn++) + { + pc.printf("%i ,",(int16_t)xxx[nn]); + } + + for(int nn=0;nn<2048;nn++) + { + pc.printf("%i ,",(int16_t)yyy[nn]); + } + for(int nn=0;nn<2048;nn++) + { + pc.printf("%i ,",(int16_t)zzz[nn]); + } + + //xfft +arm_rfft_instance_q31 Sfft; + arm_rfft_init_q31(&Sfft, NUM_SAMPLES, 0, 1); + arm_rfft_q31 (&Sfft, xxx, leftFFT); + arm_q31_to_float (leftFFT, auxFloat, 2*NUM_SAMPLES); // doing abs is very sensitive to rounding, better to be done in float + arm_cmplx_mag_f32 (auxFloat, auxFloat, NUM_SAMPLES); + arm_float_to_q31 (auxFloat, left, NUM_SAMPLES); + int rr=0; + int count; + i=0; + for (int uu=0;uu<1024;uu++) + { + pc.printf("%i ,",left[uu]); + + } + i=0; + +// for (int pp=0;pp<128;pp++) +// { +// sumx[0]=((left[pp]+left[pp+1])*(df/2))+sumx[0]; +// } +// +// for (int pp=128;pp<256;pp++) +// { +// sumx[1]=((left[pp]+left[pp+1])*(df/2))+sumx[1]; +// } +// +// for (int pp=256;pp<384;pp++) +// { +// sumx[2]=((left[pp]+left[pp+1])*(df/2))+sumx[2]; +// } +// +// for (int pp=384;pp<512;pp++) +// { +// sumx[3]=((left[pp]+left[pp+1])*(df/2))+sumx[3]; +// } +// +// for (int pp=512;pp<640;pp++) +// { +// sumx[4]=((left[pp]+left[pp+1])*(df/2))+sumx[4]; +// } +// +// +// +// for (int pp=640;pp<768;pp++) +// { +// sumx[5]=((left[pp]+left[pp+1])*(df/2))+sumx[5]; +// } +// +// for (int pp=768;pp<896;pp++) +// { +// sumx[6]=((left[pp]+left[pp+1])*(df/2))+sumx[6]; +// } +// +// for (int pp=896;pp<1023;pp++) +// { +// sumx[7]=((left[pp]+left[pp+1])*(df/2))+sumx[7]; +// } + + // +// for (int pp=0;pp<1;pp++) +// { +// sumx[7]=left[0]*ab+0; +// } +// + + + /* for(int uu=127;uu<1024;uu=uu+128) + { + count=uu; + for(int pp=count-127;pp<(count);pp++) + { + sumz[rr]=((left[pp]+left[pp+1])*(df/2))+sumz[rr]; + rr++; + } + + } + */ + +//yfft +i=0; +arm_rfft_instance_q31 Sffty; + arm_rfft_init_q31(&Sffty, NUM_SAMPLES, 0, 1); + arm_rfft_q31 (&Sffty, yyy, leftFFT); + arm_q31_to_float (leftFFT, auxFloat, 2*NUM_SAMPLES); // doing abs is very sensitive to rounding, better to be done in float + arm_cmplx_mag_f32 (auxFloat, auxFloat, NUM_SAMPLES); + arm_float_to_q31 (auxFloat, left, NUM_SAMPLES); + rr=0; + i=0; + for (int uu=0;uu<1024;uu++) + { + pc.printf("%i ,",left[uu]); + + } + + for (int pp=0;pp<128;pp++) + { + sumy[0]=((left[pp]+left[pp+1])*(df/2))+sumy[0]; + } + + for (int pp=128;pp<256;pp++) + { + sumy[1]=((left[pp]+left[pp+1])*(df/2))+sumy[1]; + } + + for (int pp=256;pp<384;pp++) + { + sumy[2]=((left[pp]+left[pp+1])*(df/2))+sumy[2]; + } + + for (int pp=384;pp<512;pp++) + { + sumy[3]=((left[pp]+left[pp+1])*(df/2))+sumy[3]; + } + + for (int pp=512;pp<640;pp++) + { + sumy[4]=((left[pp]+left[pp+1])*(df/2))+sumy[4]; + } + + + + for (int pp=640;pp<768;pp++) + { + sumy[5]=((left[pp]+left[pp+1])*(df/2))+sumy[5]; + } + + for (int pp=768;pp<896;pp++) + { + sumy[6]=((left[pp]+left[pp+1])*(df/2))+sumy[6]; + } + + for (int pp=896;pp<1023;pp++) + { + sumy[7]=((left[pp]+left[pp+1])*(df/2))+sumy[7]; + } + + /* for(int uu=127;uu<1024;uu=uu+128) + { + count=uu; + for(int pp=count-127;pp<(count);pp++) + { + sumz[rr]=((left[pp]+left[pp+1])*(df/2))+sumz[rr]; + rr++; + } + + } */ + i=0; + //zfft +arm_rfft_instance_q31 Sfftz; + arm_rfft_init_q31(&Sfftz, NUM_SAMPLES, 0, 1); + arm_rfft_q31 (&Sfftz, zzz, leftFFT); + arm_q31_to_float (leftFFT, auxFloat, 2*NUM_SAMPLES); // doing abs is very sensitive to rounding, better to be done in float + arm_cmplx_mag_f32 (auxFloat, auxFloat, NUM_SAMPLES); + arm_float_to_q31 (auxFloat, left, NUM_SAMPLES); + i=0; + //arm_rfft_fast_instance_f64 Sfft; + //arm_rfft_fast_init_f64(&Sfft, NUM_SAMPLES); + + //arm_rfft_fast_f32 (&Sfft, xxx, leftFFT,0); + //arm_cmplx_mag_f32 (leftFFT, right, NUM_SAMPLES); + rr=0; + + for (int uu=0;uu<1024;uu++) + { + pc.printf("%i ,",left[uu]); + + } + + for (int pp=0;pp<128;pp++) + { + sumz[0]=((left[pp]+left[pp+1])*(df/2))+sumz[0]; + } + + for (int pp=128;pp<256;pp++) + { + sumz[1]=((left[pp]+left[pp+1])*(df/2))+sumz[1]; + } + + for (int pp=256;pp<384;pp++) + { + sumz[2]=((left[pp]+left[pp+1])*(df/2))+sumz[2]; + } + + for (int pp=384;pp<512;pp++) + { + sumz[3]=((left[pp]+left[pp+1])*(df/2))+sumz[3]; + } + + for (int pp=512;pp<640;pp++) + { + sumz[4]=((left[pp]+left[pp+1])*(df/2))+sumz[4]; + } + + + + for (int pp=640;pp<768;pp++) + { + sumz[5]=((left[pp]+left[pp+1])*(df/2))+sumz[5]; + } + + for (int pp=768;pp<896;pp++) + { + sumz[6]=((left[pp]+left[pp+1])*(df/2))+sumz[6]; + } + + for (int pp=896;pp<1023;pp++) + { + sumz[7]=((left[pp]+left[pp+1])*(df/2))+sumz[7]; + } + + + + for(int iii = 0; iii < 2048; iii++) + { + sum1 = xxx1[iii]+sum1; + } + + sum2=(sum1*100)/2048; + double sum3=0; + double ab=3000/2048; + sum3=floor(sum2); + sum11=3000/2048; + //sum22[0]=sum1*df; + //sum11=static_cast<float>(sum1); +// avg = static_cast<float>(sum1)*0.004882; +// avg1 = avg*100; +// avg2 = static_cast<int>(avg1); +// + + + for(int ww=0;ww<8;ww++) + { + pc.printf("%f ,",sumx[ww]); + + } + for(int ww=0;ww<8;ww++) + { + pc.printf("%f ,",sumy[ww]); + + } + + for(int ww=0;ww<8;ww++) + { + pc.printf("%f ,",sumz[ww]); + + } + + for(int nn=0;nn<2048;nn++) + { + pc.printf("%i ,",(int16_t)xxx1[nn]); + } + + + + + //pc.printf("%i ,",(int16_t)sum1); + //pc.printf("%i ,",(int16_t)sum1); +// pc.printf("%.2f ,",(float)sum1); +// pc.printf("%i ,",(int64_t)sum2); +// pc.printf("%i ,",(int16_t)sum3); + + pc.printf("%i ,",(int16_t)sum11); + pc.printf("%f ,",sum11); + pc.printf("%f ,",(float)sum11); + + pc.printf("%i ,",(int16_t)ab); + pc.printf("%f ,",ab); + pc.printf("%f ,",(float)ab); + + //pc.printf("%.2f ,",(float64_t)sum11); + // +// pc.printf("%f ,",avg); +// pc.printf("%f ,",(float)avg); +// pc.printf("%i ,",(int16_t)avg2); + + + v=1; + + +} +} +int main() +{ + + + printf("Starting ADXL345 test...\n"); + printf("Device ID is: 0x%02x\n", accelerometer.getDevId()); + + //Go into standby mode to configure the device. + accelerometer.setPowerControl(0x00); + + //Full resolution, +/-16g, 4mg/LSB. + accelerometer.setDataFormatControl(0x00); + + //3.2kHz data rate. + accelerometer.setDataRate(ADXL345_400HZ); + + //Measurement mode. + accelerometer.setPowerControl(0x08); + + flipper1.attach(&flip1, 0.0025); // the address of the + flipper2.attach(&flip2, 10); // the address of the + + + + 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+//int bbb[1024]={17 ,-7 ,-11 ,-20 ,-4 ,-25 ,-5 ,9 ,1 ,-28 ,-3 ,-21 ,-2 ,-31 ,-14 ,-5 ,-1 ,-14 ,-11 ,-15 ,-20 ,-11 ,-35 ,-13 ,-18 ,-9 ,-24 ,-13 ,-28 ,-10 ,-2 ,-20 ,-18 ,-25 ,-8 ,15 ,-10 ,-51 ,-13 ,-13 ,-20 ,3 ,-26 ,-17 ,-16 ,-9 ,-14 ,-1 ,-4 ,-12 ,-11 ,16 ,-11 ,-26 ,4 ,-30 ,-10 ,0 ,-10 ,-16 ,-12 ,-8 ,-13 ,-14 ,-16 ,-11 ,-24 ,-16 ,-29 ,-7 ,-15 ,-2 ,-4 ,-27 ,-9 ,-47 ,-2 ,-23 ,-3 ,-24 ,-5 ,-5 ,-5 ,-15 ,-4 ,1 ,-7 ,-16 ,-1 ,-17 ,-9 ,-15 ,-11 ,-11 ,-3 ,-13 ,2 ,-8 ,-22 ,-13 ,-27 ,-9 ,-2 ,-4 ,-2 ,-17 ,-3 ,-23 ,-23 ,-19 ,-6 ,-10 ,-5 ,1 ,-11 ,-8 ,16 ,-23 ,-32 ,-13 ,-21 ,-27 ,-27 ,-9 ,-29 ,-2 ,-20 ,15 ,-26 ,-7 ,-26 ,-6 ,-12 ,-6 ,3 ,-13 ,-19 ,-20 ,8 ,-20 ,-9 ,-16 ,-1 ,-7 ,-10 ,-6 ,-23 ,7 ,-18 ,-6 ,-11 ,-23 ,-10 ,-14 ,-7 ,-20 ,-18 ,-8 ,-13 ,-14 ,-19 ,-2 ,-28 ,-14 ,-14 ,-25 ,-5 ,-11 ,-15 ,-2 ,-7 ,-8 ,-23 ,-9 ,-31 ,-26 ,-2 ,-20 ,-7 ,-22 ,33 ,-20 ,-15 ,-28 ,-12 ,10 ,-15 ,-17 ,-26 ,-2 ,-18 ,-15 ,-3 ,8 ,-18 ,1 ,-10 ,-21 ,-4 ,-18 ,-12 ,-5 ,-14 ,-13 ,-27 ,18 ,18 ,-26 ,-15 ,-13 ,-18 ,-4 ,-36 ,-19 ,-17 ,-15 ,-12 ,-23 ,-13 ,5 ,-13 ,-24 ,-3 ,-22 ,-17 ,-20 ,-16 ,-4 ,-27 ,-2 ,-27 ,-22 ,-12 ,-10 ,-10 ,-47 ,-10 ,-16 ,-6 ,-13 ,-5 ,-8 ,-31 ,-26 ,-20 ,-11 ,-14 ,-20 ,-20 ,-12 ,-11 ,-3 ,-32 ,-12 ,-15 ,-17 ,3 ,-31 ,-8 ,-25 ,3 ,-22 ,-16 ,-10 ,-16 ,-14 ,-10 ,-2 ,-33 ,-1 ,-12 ,-20 ,-5 ,-39 ,-8 ,-15 ,-23 ,-11 ,-17 ,-11 ,5 ,-17 ,-19 ,-13 ,-16 ,-5 ,2 ,-26 ,-4 ,-21 ,-21 ,-10 ,-8 ,-8 ,-7 ,-2 ,-14 ,-25 ,-8 ,-18 ,-12 ,4 ,-12 ,-12 ,-21 ,-16 ,-13 ,-33 ,-8 ,-40 ,-13 ,-17 ,-8 ,-16 ,-5 ,-4 ,-30 ,-3 ,-24 ,-11 ,-13 ,-15 ,-15 ,-29 ,-8 ,-18 ,-26 ,-19 ,-8 ,-18 ,-32 ,-20 ,-20 ,-22 ,-16 ,-4 ,-9 ,-10 ,-22 ,-2 ,-11 ,-17 ,-1 ,-19 ,-18 ,-20 ,-10 ,-20 ,-19 ,0 ,-35 ,-4 ,-17 ,-18 ,-12 ,-34 ,-5 ,-41 ,-5 ,-19 ,-11 ,-15 ,2 ,-12 ,-29 ,-11 ,-22 ,-11 ,-15 ,-19 ,-6 ,-23 ,0 ,-21 ,-21 ,-10 ,-21 ,-9 ,-12 ,-27 ,-15 ,-15 ,-16 ,-12 ,-8 ,0 ,-19 ,-7 ,-21 ,-9 ,-3 ,-42 ,4 ,-22 ,-4 ,-11 ,-14 ,-11 ,-21 ,0 ,-24 ,-30 ,-19 ,-19 ,-8 ,-12 ,-16 ,-11 ,-17 ,-20 ,-21 ,-19 ,-28 ,-24 ,-11 ,-11 ,-35 ,-17 ,-29 ,-5 ,-31 ,-6 ,-18 ,13 ,1 ,-26 ,-4 ,-20 ,-18 ,-3 ,-13 ,-7 ,-9 ,-11 ,-16 ,-18 ,-1 ,-43 ,-7 ,-23 ,-13 ,-16 ,-31 ,-3 ,-23 ,10 ,-22 ,-5 ,-11 ,-8 ,-8 ,-26 ,-2 ,-24 ,-28 ,-1 ,-2 ,-2 ,49 ,-20 ,-12 ,-18 ,-11 ,-1 ,-58 ,20 ,-25 ,-13 ,-11 ,-9 ,-17 ,-22 ,-4 ,-31 ,-11 ,-15 ,0 ,-6 ,-28 ,29 ,-19 ,-21 ,-4 ,-1 ,-18 ,-25 ,-4 ,-19 ,2 ,-6 ,-13 ,-10 ,-22 ,-22 ,-11 ,-12 ,0 ,-18 ,-5 ,-5 ,-27 ,-17 ,2 ,5 ,-11 ,-33 ,2 ,-15 ,-27 ,9 ,-22 ,-16 ,-33 ,0 ,-15 ,-16 ,-27 ,-35 ,18 ,-26 ,-24 ,-13 ,-40 ,-11 ,-23 ,2 ,-26 ,-26 ,-12 ,-6 ,-8 ,-23 ,-3 ,-22 ,-28 ,-17 ,22 ,-17 ,-24 ,4 ,-21 ,-21 ,-21 ,4 ,-41 ,31 ,-22 ,0 ,-11 ,-29 ,-14 ,-28 ,2 ,-17 ,-10 ,-6 ,-15 ,2 ,-21 ,-11 ,-16 ,2 ,19 ,-20 ,5 ,-15 ,-20 ,-19 ,-21 ,-6 ,-20 ,-2 ,-15 ,-29 ,-8 ,-38 ,12 ,-26 ,-13 ,-6 ,-42 ,-12 ,-28 ,-28 ,-17 ,-14 ,-16 ,-11 ,-15 ,0 ,-20 ,-18 ,-14 ,-22 ,2 ,-18 ,67 ,-17 ,-26 ,-24 ,-39 ,-9 ,-20 ,-8 ,-18 ,5 ,-6 ,-43 ,3 ,-25 ,-31 ,-16 ,-8 ,-2 ,-28 ,-11 ,-15 ,-12 ,-14 ,-25 ,-20 ,-19 ,-7 ,-12 ,-45 ,-45 ,-5 ,-23 ,12 ,-18 ,-24 ,-16 ,3 ,-23 ,-11 ,2 ,-15 ,-5 ,-12 ,-32 ,-10 ,-22 ,-24 ,-15 ,-17 ,-20 ,-30 ,-9 ,-13 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={5.00,4.91,4.62,4.14,3.51,2.73,1.85,0.89,-0.10,-1.08,-2.02,-2.88,-3.61,-4.21,-4.63,-4.86,-4.90,-4.73,-4.38,-3.84,-3.15,-2.33,-1.40,-0.42,0.58,1.57,2.50,3.34,4.05,4.60,4.98,5.17,5.16,4.95,4.55,3.98,3.26,2.41,1.48,0.50,-0.49,-1.45,-2.34,-3.14,-3.79,-4.29,-4.60,-4.72,-4.64,-4.36,-3.90,-3.27,-2.49,-1.61,-0.65,0.35,1.35,2.31,3.19,3.96,4.58,5.03,5.30,5.37,5.25,4.93,4.42,3.76,2.97,2.07,1.10,0.11,-0.87,-1.80,-2.63,-3.35,-3.91,-4.30,-4.50,-4.51,-4.31,-3.92,-3.36,-2.64,-1.80,-0.87,0.12,1.12,2.10,3.02,3.84,4.52,5.05,5.40,5.55,5.51,5.27,4.84,4.24,3.50,2.64,1.69,0.71,-0.28,-1.23,-2.11,-2.88,-3.51,-3.98,-4.26,-4.35,-4.23,-3.92,-3.43,-2.77,-1.98,-1.08,-0.11,0.89,1.89,2.83,3.70,4.44,5.04,5.46,5.70,5.74,5.58,5.22,4.69,4.01,3.19,2.28,1.31,0.31,-0.66,-1.58,-2.40,-3.09,-3.62,-3.98,-4.15,-4.12,-3.89,-3.47,-2.88,-2.14,-1.28,-0.34,0.66,1.66,2.63,3.53,4.33,4.99,5.49,5.80,5.93,5.85,5.57,5.11,4.49,3.72,2.85,1.89,0.91,-0.08,-1.02,-1.89,-2.64,-3.24,-3.68,-3.93,-3.98,-3.83,-3.49,-2.97,-2.29,-1.47,-0.56,0.42,1.42,2.41,3.35,4.19,4.91,5.48,5.87,6.08,6.08,5.89,5.50,4.95,4.23,3.40,2.47,1.50,0.50,-0.46,-1.37,-2.17,-2.83,-3.34,-3.67,-3.81,-3.74,-3.48,-3.03,-2.41,-1.65,-0.78,0.18,1.18,2.18,3.14,4.03,4.80,5.44,5.91,6.19,6.28,6.17,5.86,5.37,4.72,3.93,3.04,2.08,1.09,0.10,-0.83,-1.68,-2.40,-2.98,-3.39,-3.60,-3.62,-3.44,-3.07,-2.52,-1.82,-0.98,-0.06,0.93,1.93,2.91,3.84,4.66,5.36,5.90,6.26,6.43,6.40,6.18,5.76,5.18,4.44,3.59,2.65,1.67,0.68,-0.28,-1.17,-1.95,-2.60,-3.07,-3.37,-3.47,-3.38,-3.08,-2.60,-1.96,-1.18,-0.29,0.68,1.68,2.67,3.63,4.50,5.25,5.86,6.30,6.55,6.60,6.46,6.12,5.60,4.92,4.12,3.21,2.24,1.25,0.27,-0.65,-1.48,-2.19,-2.74,-3.11,-3.30,-3.28,-3.07,-2.67,-2.09,-1.36,-0.51,0.43,1.42,2.42,3.40,4.30,5.11,5.78,6.29,6.62,6.76,6.70,6.44,5.99,5.38,4.62,3.75,2.80,1.81,0.83,-0.12,-1.00,-1.76,-2.38,-2.83,-3.09,-3.16,-3.03,-2.70,-2.20,-1.53,-0.73,0.18,1.15,2.16,3.15,4.09,4.94,5.67,6.25,6.66,6.88,6.90,6.72,6.35,5.80,5.10,4.27,3.35,2.38,1.38,0.41,-0.50,-1.31,-1.99,-2.51,-2.86,-3.01,-2.96,-2.72,-2.28,-1.68,-0.93,-0.06,0.89,1.88,2.88,3.85,4.74,5.53,6.17,6.65,6.95,7.05,6.96,6.66,6.19,5.55,4.77,3.88,2.93,1.93,0.95,0.01,-0.85,-1.59,-2.18,-2.60,-2.83,-2.87,-2.70,-2.35,-1.81,-1.12,-0.30,0.62,1.60,2.60,3.59,4.51,5.35,6.06,6.61,6.98,7.17,7.15,6.94,6.54,5.97,5.24,4.39,3.46,2.48,1.49,0.52,-0.37,-1.17,-1.82,-2.32,-2.63,-2.75,-2.67,-2.39,-1.93,-1.30,-0.53,0.36,1.31,2.31,3.31,4.26,5.14,5.91,6.52,6.98,7.24,7.31,7.18,6.85,6.35,5.68,4.88,3.98,3.01,2.02,1.04,0.11,-0.73,-1.45,-2.01,-2.40,-2.60,-2.61,-2.41,-2.02,-1.46,-0.75,0.09,1.03,2.01,3.01,3.99,4.91,5.72,6.40,6.93,7.27,7.42,7.37,7.13,6.69,6.09,5.34,4.48,3.53,2.55,1.56,0.60,-0.28,-1.05,-1.69,-2.15,-2.43,-2.52,-2.40,-2.10,-1.60,-0.95,-0.16,0.74,1.71,2.71,3.70,4.64,5.50,6.24,6.84,7.26,7.49,7.52,7.36,7.00,6.47,5.77,4.95,4.04,3.06,2.07,1.09,0.18,-0.65,-1.34,-1.88,-2.24,-2.41,-2.38,-2.15,-1.73,-1.14,-0.40,0.45,1.40,2.39,3.39,4.36,5.26,6.05,6.71,7.20,7.51,7.63,7.55,7.27,6.80,6.17,5.40,4.52,3.57,2.58,1.59,0.64,-0.23,-0.98,-1.58,-2.02,-2.27,-2.32,-2.18,-1.84,-1.32,-0.64,0.17,1.09,2.06,3.06,4.05,4.98,5.82,6.54,7.10,7.49,7.69,7.69,7.49,7.10,6.54,5.82,4.98,4.06,3.07,2.08,1.11,0.21,-0.60,-1.27,-1.78,-2.11,-2.24,-2.18,-1.92,-1.47,-0.86,-0.10,0.78,1.73,2.72,3.72,4.68,5.56,6.33,6.96,7.43,7.71,7.79,7.67,7.36,6.87,6.21,5.42,4.52,3.56,2.56,1.58,0.64,-0.21,-0.94,-1.52,-1.92,-2.14,-2.16,-1.98,-1.61,-1.07,-0.36,0.47,1.39,2.37,3.37,4.35,5.27,6.09,6.79,7.32,7.68,7.84,7.81,7.58,7.16,6.56,5.83,4.97,4.03,3.04,2.05,1.08,0.19,-0.59,-1.24,-1.72,-2.02,-2.12,-2.02,-1.73,-1.26,-0.62,0.17,1.05,2.02,3.01,4.01,4.95,5.82,6.57,7.17,7.61,7.85,7.90,7.75,7.40,6.88,6.20,5.39,4.48,3.50,2.51,1.53,0.60,-0.23,-0.94,-1.49,-1.87,-2.05,-2.04,-1.83,-1.43,-0.85,-0.13,0.72,1.65,2.64,3.64,4.61,5.51,6.32,6.98,7.49,7.81,7.94,7.88,7.61,7.16,6.54,5.78,4.90,3.95,2.96,1.97,1.01,0.14,-0.62,-1.24,-1.70,-1.96,-2.03,-1.91,-1.58,-1.08,-0.41,0.39,1.29,2.26,3.26,4.24,5.18,6.03,6.75,7.33,7.73,7.94,7.96,7.77,7.40,6.85,6.14,5.31,4.38,3.40,2.40,1.43,0.52,-0.30,-0.98,-1.51,-1.85,-2.01,-1.96,-1.72,-1.29,-0.69,0.06,0.93,1.87,2.86,3.86,4.82,5.71,6.49,7.13,7.61,7.90,7.99,7.89,7.59,7.11,6.47,5.68,4.79,3.83,2.83,1.84,0.90,0.04,-0.70,-1.30,-1.72,-1.95,-1.99,-1.83,-1.48,-0.94,-0.26,0.56,1.48,2.46,3.45,4.44,5.36,6.19,6.89,7.44,7.81,7.98,7.96,7.75,7.34,6.76,6.03,5.18,4.24,3.25,2.25,1.29,0.39,-0.41,-1.07,-1.56,-1.88,-2.00,-1.92,-1.65,-1.19,-0.56,0.21,1.09,2.04,3.04,4.03,4.98,5.85,6.61,7.22,7.67,7.93,7.99,7.85,7.52,7.01,6.34,5.54,4.63,3.66,2.66,1.67,0.74,-0.10,-0.82,-1.39,-1.78,-1.99,-1.99,-1.80,-1.41,-0.85,-0.14,0.70,1.62,2.61,3.60,4.58,5.49,6.29,6.97,7.49,7.83,7.97,7.92,7.66,7.23,6.62,5.86,5.00,4.05,3.05,2.06,1.10,0.21,-0.56,-1.20,-1.66,-1.95,-2.04,-1.93,-1.62,-1.13,-0.48,0.31,1.20,2.17,3.16,4.15,5.09,5.94,6.68,7.27,7.68,7.91,7.93,7.76,7.40,6.86,6.16,5.34,4.42,3.44,2.44,1.46,0.54,-0.29,-0.98,-1.53,-1.89,-2.06,-2.03,-1.81,-1.39,-0.81,-0.07,0.78,1.72,2.71,3.70,4.67,5.56,6.35,7.00,7.49,7.79,7.91,7.82,7.53,7.06,6.43,5.65,4.77,3.81,2.81,1.82,0.87,-0.00,-0.76,-1.37,-1.81,-2.06,-2.11,-1.97,-1.63,-1.12,-0.44,0.37,1.27,2.25,3.24,4.22,5.15,5.99,6.70,7.26,7.64,7.83,7.82,7.62,7.23,6.66,5.94,5.09,4.16,3.17,2.17,1.20,0.29,-0.52,-1.19,-1.70,-2.04,-2.17,-2.11,-1.86,-1.41,-0.80,-0.04,0.83,1.78,2.77,3.76,4.71,5.59,6.36,6.98,7.44,7.71,7.79,7.66,7.35,6.85,6.19,5.39,4.49,3.52,2.52,1.53,0.59,-0.26,-1.00,-1.58,-1.99,-2.21,-2.23,-2.06,-1.69,-1.14,-0.44,0.38,1.30,2.28,3.28,4.25,5.16,5.98,6.67,7.20,7.55,7.71,7.67,7.43,7.00,6.40,5.66,4.80,3.85,2.86,1.86,0.89,-0.00,-0.79,-1.44,-1.92,-2.22,-2.33,-2.23,-1.94}; + + +/*arm_rfft_instance_q15 Sfft; + arm_rfft_init_q15(&Sfft, NUM_SAMPLES, 0, 1); +arm_rfft_q15 (&Sfft, sinoos, leftFFT); + arm_q15_to_float (leftFFT, auxFloat, 2*NUM_SAMPLES); // doing abs is very sensitive to rounding, better to be done in float + arm_cmplx_mag_f32 (auxFloat, auxFloat, NUM_SAMPLES); + arm_float_to_q15 (auxFloat, left, NUM_SAMPLES);*/ + + + + while(1) + { + + } + } +
diff -r 000000000000 -r 4d6a495f372c mbed.bld --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/mbed.bld Thu Jul 09 21:55:41 2020 +0000 @@ -0,0 +1,1 @@ +https://os.mbed.com/users/mbed_official/code/mbed/builds/65be27845400 \ No newline at end of file