Clomid Hot Flashes After Ovulation

Python and Python

W zasadzie nie wiem jak przetłumaczyć "Beat" - hitting, rhythm? I wrote a script looking for beats in the audio file. As a material for analysis served as the first 10 seconds the song. Beat stroke is defined as the instantaneous power signal, which is perceived by the ear as a louder sound. Read more here:

http://www.gamedev.net/reference/programming/features/beatdetection/

__author__ = "daniel"

__date__ = "2010-03-04 0:21:00 $ $"

scipy.io import from import

wavfile matplotlib.pyplot as pyplot

import numpy if __name__ == "__main__": # load file

fs, data = wavfile.read ("/ home/daniel/Muzyka/steady10s.wav ")

# combining two channels into one

dane.shape

print data = data [:, 0] / 2.0 + data [:, 1] / 2.0

# normalization

data = data / max (data)

# calculate the energy carried by the

signal data = data ** 2

# of samples will be enough to jump at the analysis

k = fs / 10

#

analysis window length N = 2 ** 10

i = 0 # number of samples in the file length

, = dane.shape

# const, the number of times greater energy value must be considered in order to signal was too beat C = 2
average = [] # moments in which you found the beat beats
= [] while

i * k + N srednia.append (abs (data [i * k i * k + N-1]. mean ()))

# check the last 42 averaging, ie, ~ 1s
if (sum (average [-42:]) / 42 * C # print "Beat @", i * k + N / 2, "and", and beats . append (i)
i + = 1

 
 numpy.array average = (average) 
 # scaling ybeats to 2 times the average energy at a given point (for clarity) 
 numpy.ones ybeats = (shape = len (beats)) 
 for i, b in enumerate (beats): 
 ybeats [i] *= satisfactory [b] * 2 # 
 
 drawing graphs (very similar to Matlab) 
 pyplot.plot (average) 
 pyplot.hold (True) 
 pyplot.stem (beats ybeats, 'k') 
 pyplot.title ("Beats") 
 pyplot.savefig ("/ home/daniel/Obrazy/steady10sbeats.png) 
 pyplot.show () 
 And here is the result: 
 Luckily Steady As She Goes is a very clear rhythm in the beginning, so it is easy to detect. The next step will be to analyze more difficult material.