Kumar Appaiah kumanna

Teaching tips

Kumar Appaiah, Associate Professor, Department of Electrical Engineering, IIT Bombay

I would like to preface this with the information that I chose to become a teacher primarily because I was very positively influenced by my teachers, especially at the undergraduate level. The happiness of seeing my students graduate and do great things in industry is a reward that has no parallels, and I am very grateful for this

	import numpy as np
	import matplotlib.pyplot as plt

	N = 100
	bpsk_data = np.sign(np.random.randn(N))

	h = np.array([1, 0.25, -0.25])

	y = np.convolve(h, bpsk_data)

	import numpy as np
	import matplotlib.pyplot as plt
	import scipy

	np.set_printoptions(edgeitems=30, linewidth=100000, formatter=dict(float=lambda x: "%.3g" % x))

	# We will create an ideal truncated filter

	Ts = 44100
	# 0.5 seconds

	import numpy as np

	M = 8
	N = 8
	triplets = [
	(1 - 0.3j, 0, 0),
	(0.3 + 0.4j, 1, 1),
	(0.7 - 0.6j, 2, 1),
	]

	import numpy as np
	from scipy.linalg import null_space

	A_2 = 0.1
	t = 0.3
	fd1 = 100
	fd2 = 120
	two_pi_fd1_t = 2 * np.pi * fd1 * t
	two_pi_fd2_t = 2 * np.pi * fd2 * t
	theta_1 = np.random.rand() * 2 * np.pi

	import numpy as np
	import matplotlib.pyplot as plt

	T = 1
	Ts = 1e-3
	t = np.arange(-3, 10, Ts)

	symbols = [1, 1, 1, 1]
	N_SYMBOLS = len(symbols)

	import numpy as np

	M = 4

	p = 2
	beta = 1

	c = p * M + beta
	C = np.array([-3 / 4, -1 / 4, 1 / 4, 3 / 4]) * c

	import numpy as np
	import matplotlib.pyplot as plt
	import sys

	Ts = 0.000001
	n_cycles = 240000
	if len(sys.argv) > 1:
	n_cycles = int(sys.argv[1])
	t = np.arange(0, n_cycles * Ts, Ts)

	import numpy as np
	import matplotlib.pyplot as plt

	# Minimize f(x) = 2 + (x - 3)^2

	def f(x):
	return 2 + (x - 3)**2

	def fdash(x):
	return 2 * (x - 3)