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Veeresh Taranalli veeresht

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Robotics | SLAM | Computer Vision | Communication & Coding Theory | Signal Processing

veeresht / read_svhn_mat.py

Created July 21, 2016 23:38

Read SVHN Dataset mat (version 7.3) files using h5py and numpy


	import numpy as np
	import h5py

	def read_process_h5(filename):
	""" Reads and processes the mat files provided in the SVHN dataset.
	Input: filename
	Ouptut: list of python dictionaries
	"""

veeresht / test_viterbi.py

Created May 14, 2012 22:05

Example usage of viterbi_decode in CommPy

	import numpy as np
	import commpy.channelcoding.convcode as cc

	memory = np.array([2])
	g_matrix = np.array([[05, 07]])
	feedback = 00
	trellis = cc.Trellis(memory, g_matrix)

	msg = np.random.randint(0, 2, 10)
	coded_bits = cc.conv_encode(msg, trellis)

veeresht / frequency_offset.py

Created April 2, 2012 03:58

Simulation of Frequency Offset in Single Carrier and OFDM Systems

	from numpy import real, imag, arange
	from numpy.fft import fft, ifft
	from numpy.random import randint
	from commpy.modulation import QAMModem
	from commpy.impairments import add_frequency_offset
	import matplotlib.pyplot as plt

	# System Parameters
	# Sampling Frequency (Hz)
	Fs = 15.36e6

veeresht / trellis_example.py

Created March 21, 2012 00:28

Example of plotting a Trellis Diagram using CommPy

	from numpy import array
	from commpy.channelcoding import Trellis

	# Define the number of memory elements
	# per input in the convolutional encoder
	memory = array([2])

	# Define the generator matrix of
	# the convolutional encoder
	# Entries are in octal format

veeresht / MAP_Decoder_Simulation.py

Created March 5, 2012 04:32

MAP Decoder simulation

	from numpy import array, arange, power, log10, zeros, sqrt
	from numpy.random import randint, randn
	from commpy.channelcoding import turbo_encode, map_decode, Trellis
	from commpy.utilities import hamming_dist

	total_bits = 1000000
	block_size = 1000
	num_blocks = total_bits/block_size

	# Noise Variance