01 Sep '15, 2pm

FSK Explained with Python via @AllAboutCircuit #python

FSK Explained with Python via @AllAboutCircuit #python

import numpy as np import pylab as pl import scipy.signal.signaltools as sigtool import scipy.signal as signal from numpy.random import sample #the following variables setup the system Fc = 1000 #simulate a carrier frequency of 1kHz Fbit = 50 #simulated bitrate of data Fdev = 500 #frequency deviation, make higher than bitrate N = 64 #how many bits to send A = 1 #transmitted signal amplitude Fs = 10000 #sampling frequency for the simulator, must be higher than twice the carrier frequency A_n = 0.10 #noise peak amplitude N_prntbits = 10 #number of bits to print in plots def plot_data(y): #view the data in time and frequency domain #calculate the frequency domain for viewing purposes N_FFT = float(len(y)) f = np.arange(0,Fs/2,Fs/N_FFT) w = np.hanning(len(y)) y_f = np.fft.fft(np.multiply(y,w)) y_f = 10*np.log10(np.abs(y_f[0:N_FFT/2]/N_FFT)) pl.subplot(3,1,1) pl.plot(t[0:Fs*N_p...

Full article: http://www.allaboutcircuits.com/technical-articles/fsk-ex...

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