Rodrigo Prior RodrigoPrior

## subfig.tex
\documentclass[11pt]{article}
\usepackage[utf8]{inputenc}
\usepackage{graphicx}
\usepackage{subfig}

\begin{document}

\begin{figure}[!ht]
    \centering
    \caption{Caption superior.}

## haar_mother_wavelet.py
"""
Haar Mother Wavelet.
Example of Haar Mother Wavelet in python using np.piecewise interval definition.
"""
# Ref.:
# https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.piecewise.html
# https://sfalsharif.wordpress.com/2009/12/18/piecwise-function-definitions-in-numpy/
import numpy as np
import matplotlib.pyplot as plt

## PEL304-aula1.ipynb

      
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              November 5, 2017 15:25
            
              
                PEL304-aula1.ipnb
              
          
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## h5py_create_image_dataset.py
# images to hdf5
# https://groups.google.com/forum/#!topic/h5py/9sA18XbC_ao
# https://github.com/h5py/h5py/issues/268
import h5py
import numpy

def create_image_dataset(group, dataset_name, image, **kwargs):
    """

    Create a dataset respecting the HDF5 image specification

## ipython_install.md

      
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              July 18, 2017 18:16
            
              
                Setup Ambiente - Ipython - Computer Vision
              
          
    Setup de ambiente Ipython

Ambiente: Ubuntu 14.04
sudo apt-get install git  
sudo apt-get install python-scipy  
sudo apt-get install python-numpy  
sudo apt-get install python-skimage  
sudo apt-get install python-pandas  

sudo apt-get install python-opencv

  
## example_list_of_symbols.tex
\chapter*{Lista de Abreviaturas}

%\clearpage \thispagestyle{empty} % optional to clear page numbers
\begin{tabular}{ll}
        2D          & Estrutura Bidimensional.\\
        \\
        3D          & Estrutura Tridimensional.\\
        \\
        B           & Região de corpo (\emph{Body}).\\
        \\

## icelera_filter.ipynb

      
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                / icelera_filter.ipynb
            
            
              Created
              January 10, 2017 17:11
            
              
                Resultado medida do calibrador icelera com filtro e sem filtro
              
          
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## py_multiproc.py
import time
import random
import numpy as np
import multiprocessing as mp


class simulacron(object):
    """sync and async functs for simulacron."""
    def __init__(self, n=512*5, freq=512, freq2=4):
        super(simulacron, self).__init__()

## bb_fundos.py
from lxml import html
import requests
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import time
from sklearn.cluster import KMeans
from sklearn import preprocessing
import seaborn as sns

## signal_and_filter-bandstop.py
import numpy as np
import scipy
from scipy import signal
import matplotlib.pyplot as plt


freq1 = 60  # Hz
freq2 = 90  # Hz
sampling_rate = 1000  # samples per second
time = 1  # segundos
	\documentclass[11pt]{article}
	\usepackage[utf8]{inputenc}
	\usepackage{graphicx}
	\usepackage{subfig}

	\begin{document}

	\begin{figure}[!ht]
	\centering
	\caption{Caption superior.}
	"""
	Haar Mother Wavelet.
	Example of Haar Mother Wavelet in python using np.piecewise interval definition.
	"""
	# Ref.:
	# https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.piecewise.html
	# https://sfalsharif.wordpress.com/2009/12/18/piecwise-function-definitions-in-numpy/
	import numpy as np
	import matplotlib.pyplot as plt
	# images to hdf5
	# https://groups.google.com/forum/#!topic/h5py/9sA18XbC_ao
	# https://github.com/h5py/h5py/issues/268
	import h5py
	import numpy

	def create_image_dataset(group, dataset_name, image, **kwargs):
	"""

	Create a dataset respecting the HDF5 image specification
	\chapter*{Lista de Abreviaturas}

	%\clearpage \thispagestyle{empty} % optional to clear page numbers
	\begin{tabular}{ll}
	2D & Estrutura Bidimensional.\\
	\\
	3D & Estrutura Tridimensional.\\
	\\
	B & Região de corpo (\emph{Body}).\\
	\\
	import time
	import random
	import numpy as np
	import multiprocessing as mp


	class simulacron(object):
	"""sync and async functs for simulacron."""
	def __init__(self, n=512*5, freq=512, freq2=4):
	super(simulacron, self).__init__()
	from lxml import html
	import requests
	import numpy as np
	import pandas as pd
	import matplotlib.pyplot as plt
	import time
	from sklearn.cluster import KMeans
	from sklearn import preprocessing
	import seaborn as sns
	import numpy as np
	import scipy
	from scipy import signal
	import matplotlib.pyplot as plt


	freq1 = 60 # Hz
	freq2 = 90 # Hz
	sampling_rate = 1000 # samples per second
	time = 1 # segundos