DSSS Code Sequence vs Sinc interpolated Code Signal

compare_seq_vs_sig.py

import numpy as np
import matplotlib.pyplot as plt 
from matplotlib.pyplot import step, xlim, ylim, show

k = 16
a = np.array([-1, -1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, 1, 1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, 1])

# code-sequence
b = np.tile(a, 1)
x = np.arange(0, 127)

# code-signal
upsampled_signal = upsample(b, k)  # upsample is a function in the sinc interpolation module.

fig, (ax1, ax2) = plt.subplots(2, figsize=(17,13))
ax1.step(x, b)
ax1.set(xlabel='Sample Number', ylabel='Amplitude')
ax1.set_title('127-bit DSSS Binary Code Sequence', fontsize=12, fontweight="bold")
ax2.plot(us1, 'tab:green')
ax2.set(xlabel='Sample Number', ylabel='Amplitude')
ax2.set_title('Sinc Interpolated DSSS Code Signal', fontsize=12, fontweight="bold")