Write a C++/ Python program to generate a Sign wave of Programmable frequency and capture samples at programmable frequency (Max up as per Nyquist Sampling Theorem) and reconstruct the Sign wave using collected Samples using ARM Cortex A5/A9. Use oscilloscope to calculate signal. Write your observations. Store a Data file in SAN (BIGDATA)

Program

from math import pi,sin

import Adafruit_BBIO.PWM as PWM

#freq = 367

freq = 500

omega = 2*pi*freq

#sampleRate = 133333.333333

sampleRate = 100000

samples = int(sampleRate/freq)

pwms = [0 for _ in range(2000)]

for i in range(2000):

        pwms[i]=0

#pwms[0] = (samples+1)*4

PWM.start("P9_14",50)

for i in range(1,samples+1):

        if i < 2000:

                pwms[i] = 50+int(50*sin(omega*(i-1)/sampleRate))

print "Frequency="+str(freq)+"\n"

freq=float(raw_input())

PWM.set_frequency("P9_14",freq)

if freq < 67:

        print "Frequency: "+str(freq)+" is too low. Enter a number higher than 67\n"

        freq = 67

print "Frequency="+str(freq)+"\n"

while True:

        if freq >=67:

                omega = 2*pi*freq;

                samples = int(sampleRate/freq);

                #pwms[0] = (samples+1)*4;

                for i in range (1,samples+1):

                        if(i < 2000):

                                pwms[i] = 50 + int(50 * sin(omega*(i-1)/sampleRate));

                                print pwms[i]

                                PWM.set_duty_cycle("P9_14",pwms[i])

        if freq < 67:

                print "Frequency: "+str(freq)+" is too low. Enter a number higher than 67\n"

                freq = 67

        print "Frequency="+str(freq)+"\n"

Output