Alireza Mostafavi
xsa
Dependencies: mbed ADXL345 CMSIS_DSP_5
Diff: main.cpp
- Revision:
- 0:4d6a495f372c
--- /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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+//float32_t 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+//float32_t sinoos[NUM_SAMPLES] ={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)
+ {
+
+ }
+ }
+