m3x1m0m

#!/usr/bin/python

import sys, getopt, csv

class iftop_parser:

  def __init__(self, fname, edge_ip, radiohead_ip):
    self.fname = fname
    self.edge_ip = edge_ip
    self.radiohead_ip = radiohead_ip

m3x1m0m

import scipy

def remove_zeroes_in_msg_stream(stream, start_of_msg, end_of_msg):
  filtered = []
  num_msg = 0
  state="ZEROES"
  for b in stream:
    if state == "ZEROES":
      if b != 0:
        if b != start_of_msg: # this should not happen

m3x1m0m

restype,fir
fs,1920000.0
pbend,100000.0
gain,1.0
sbstart,120000.0
filttype,lpf
ripple,1.0
atten,40.0
wintype,6
ntaps,139

m3x1m0m

<?xml version='1.0' encoding='utf-8'?>
<?grc format='1' created='3.7.12'?>
<flow_graph>
  <timestamp>Wed Mar 21 15:50:27 2018</timestamp>
  <block>
    <key>options</key>
    <param>
      <key>author</key>
      <value></value>
    </param>

m3x1m0m

#!/usr/bin/python
# Inspired by http://mpastell.com/2010/01/18/fir-with-scipy/

import sys, getopt
import numpy as np
from pylab import *
import scipy.signal as signal
from pathlib import Path
import csv

m3x1m0m

std::vector<std::pair<int,int> > d_chunks; 
std::vector<std::pair<int,int> >::iterator chunks_it;
d_chunks.push_back(std::make_pair(0, 0));// Group carriers to chunks
chunks_it = d_chunks.end() - 1;
if ( chunks_it->second == carrier - 1) {
  chunks_it->second = carrier;
  std::cout << "Extending chunk. Carrier: " << carrier  << std::endl;
} else {
  d_chunks.push_back(std::make_pair(carrier, carrier));
  std::cout << "New chunk. Carrier: " << carrier  << std::endl;

m3x1m0m

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
##################################################
# GNU Radio Python Flow Graph
# Title: Top Block
# Generated: Thu Mar 15 14:47:40 2018
##################################################

from gnuradio import blocks
from gnuradio import eng_notation

m3x1m0m

from matplotlib import pyplot as plt
import numpy as np
from scipy.optimize import fsolve
from matplotlib.ticker import EngFormatter

def get_lobe(carrier, df, x_init, ncarriers=12,):
  "Calculating the side lobe signal strength."
  # Sinc function is by default scaled with pu cos is not
  carrier = carrier - ncarriers/2
  func = lambda z : np.sinc(z) - np.cos(z*np.pi)