In [14]:

    

import matplotlib.pyplot as plt
%matplotlib inline
import math
import numpy as np


    

In [35]:

    

values = np.zeros((512))
with open("out.txt", "r") as f:
    count = 0
    for line in f:
        values[count] = int(line[:-1].split(",")[1][1:])
        count += 1
plt.plot(values)
plt.show()


    

In [42]:

    

values2 = np.zeros((1024))
with open("out2.txt", "r") as f:
    count = 0
    for line in f:
        values2[count] = int(line[:-1].split(",")[1][1:])
        count += 1
plt.plot(values2)
plt.show()


    

In [30]:

    

def detect_peak(start_index, end_index, values):
    index = 0
    for i in range(start_index+1, end_index-1):
        if values[i-1] < values[i] and values[i] > values[i+1] and values[i] > 0:
            index = i
            return i

print detect_peak(0, 512, values2)


    

    




51

In [29]:

    

print detect_peak(70, 512, values2)


    

    




128

In [25]:

    

print detect_peak(0, 512, values)


    

    




10

In [ ]: