import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc

rc('text', usetex=True);
rc('font', family='serif', serif='Times');

n4 = np.array([28, 20])
x_n4 = np.array([1,2])
n8 = np.array([56, 40, 32])
x_n8 = np.array([1,2,3])
n16 = np.array([112, 80, 64])
x_n16 = np.array([1,2,3])
n32 = np.array([160])
x_n32 = np.array([2])

fig = plt.figure()
ax = fig.add_subplot(1,1,1)
plt.plot(x_n4, n4, 'yo-', label="$N=4$")
plt.plot(x_n8, n8, 'ro-', label="$N=8$")
plt.plot(x_n16, n16, 'bo-', label="$N=16$")
plt.plot(x_n32, n32, 'go-', label="$N=32$")
ax.set_xticks([0,1,2,3,4])
plt.axis([0.8,3.2,0,180])
plt.grid(True);
plt.xlabel(r"$\log_2(K_G$)");
plt.ylabel(r"Number of DSP Slices used");
plt.legend(loc=1);
plt.savefig(filename='dspuse.eps', transparent=True);
plt.show()

41980f7006e79bab61c6755763eb4a2a5e854166
<mask token>

<mask token>
rc('text', usetex=True)
rc('font', family='serif', serif='Times')
<mask token>
plt.plot(x_n4, n4, 'yo-', label='$N=4$')
plt.plot(x_n8, n8, 'ro-', label='$N=8$')
plt.plot(x_n16, n16, 'bo-', label='$N=16$')
plt.plot(x_n32, n32, 'go-', label='$N=32$')
ax.set_xticks([0, 1, 2, 3, 4])
plt.axis([0.8, 3.2, 0, 180])
plt.grid(True)
plt.xlabel('$\\log_2(K_G$)')
plt.ylabel('Number of DSP Slices used')
plt.legend(loc=1)
plt.savefig(filename='dspuse.eps', transparent=True)
plt.show()

<mask token>
rc('text', usetex=True)
rc('font', family='serif', serif='Times')
n4 = np.array([28, 20])
x_n4 = np.array([1, 2])
n8 = np.array([56, 40, 32])
x_n8 = np.array([1, 2, 3])
n16 = np.array([112, 80, 64])
x_n16 = np.array([1, 2, 3])
n32 = np.array([160])
x_n32 = np.array([2])
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
plt.plot(x_n4, n4, 'yo-', label='$N=4$')
plt.plot(x_n8, n8, 'ro-', label='$N=8$')
plt.plot(x_n16, n16, 'bo-', label='$N=16$')
plt.plot(x_n32, n32, 'go-', label='$N=32$')
ax.set_xticks([0, 1, 2, 3, 4])
plt.axis([0.8, 3.2, 0, 180])
plt.grid(True)
plt.xlabel('$\\log_2(K_G$)')
plt.ylabel('Number of DSP Slices used')
plt.legend(loc=1)
plt.savefig(filename='dspuse.eps', transparent=True)
plt.show()

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
rc('text', usetex=True)
rc('font', family='serif', serif='Times')
n4 = np.array([28, 20])
x_n4 = np.array([1, 2])
n8 = np.array([56, 40, 32])
x_n8 = np.array([1, 2, 3])
n16 = np.array([112, 80, 64])
x_n16 = np.array([1, 2, 3])
n32 = np.array([160])
x_n32 = np.array([2])
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
plt.plot(x_n4, n4, 'yo-', label='$N=4$')
plt.plot(x_n8, n8, 'ro-', label='$N=8$')
plt.plot(x_n16, n16, 'bo-', label='$N=16$')
plt.plot(x_n32, n32, 'go-', label='$N=32$')
ax.set_xticks([0, 1, 2, 3, 4])
plt.axis([0.8, 3.2, 0, 180])
plt.grid(True)
plt.xlabel('$\\log_2(K_G$)')
plt.ylabel('Number of DSP Slices used')
plt.legend(loc=1)
plt.savefig(filename='dspuse.eps', transparent=True)
plt.show()

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc

rc('text', usetex=True);
rc('font', family='serif', serif='Times');

n4 = np.array([28, 20])
x_n4 = np.array([1,2])
n8 = np.array([56, 40, 32])
x_n8 = np.array([1,2,3])
n16 = np.array([112, 80, 64])
x_n16 = np.array([1,2,3])
n32 = np.array([160])
x_n32 = np.array([2])

fig = plt.figure()
ax = fig.add_subplot(1,1,1)
plt.plot(x_n4, n4, 'yo-', label="$N=4$")
plt.plot(x_n8, n8, 'ro-', label="$N=8$")
plt.plot(x_n16, n16, 'bo-', label="$N=16$")
plt.plot(x_n32, n32, 'go-', label="$N=32$")
ax.set_xticks([0,1,2,3,4])
plt.axis([0.8,3.2,0,180])
plt.grid(True);
plt.xlabel(r"$\log_2(K_G$)");
plt.ylabel(r"Number of DSP Slices used");
plt.legend(loc=1);
plt.savefig(filename='dspuse.eps', transparent=True);
plt.show()
