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Pretty much all of Fall 2024

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This commit is contained in:
Aidan Sharpe
2024-11-10 14:46:30 -05:00
parent 87f9c55360
commit faa05b88f9
116 changed files with 8295 additions and 1683 deletions
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35
7th-Semester-Fall-2024/ECOMMS/labs/lab1/part1.py
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@@ -1,5 +1,5 @@
import numpy as np
import sounddevice as sd
#import sounddevice as sd
import matplotlib.pyplot as plt
def normalize_signal(signal):
@@ -10,12 +10,37 @@ def normalize_signal(signal):
normalized_signal -= 1
return normalized_signal
snr = 10
f = 466.16
f_s = 16000
T_0 = 1/f
t = np.arange(0,0.01,1/f_s)
t = np.arange(0,T_0,1/f_s)
s = 0.5 * np.sin(2*np.pi*f*t)
sd.play(normalize_signal(s), samplerate=f_s, blocking=True)
# Convert signal covariance
var_s = np.cov(s)
# Calculate required noise variance
var_snr_10 = var_s/(10**(10/10))
var_snr_20 = var_s/(10**(20/10))
var_snr_30 = var_s/(10**(30/10))
# Genearate noise
noise_snr_10 = (var_snr_10**0.5) * np.random.randn(len(s))
noise_snr_20 = (var_snr_20**0.5) * np.random.randn(len(s))
noise_snr_30 = (var_snr_30**0.5) * np.random.randn(len(s))
# Add signal and noise
m_snr_10 = s+noise_snr_10
m_snr_20 = s+noise_snr_20
m_snr_30 = s+noise_snr_30
plt.plot(t,s, label="Pure A$\sharp$ Tone")
plt.plot(t,m_snr_10, label="Corrupted A$\sharp$ Tone (SNR=10dB)")
plt.plot(t,m_snr_20, label="Corrupted A$\sharp$ Tone (SNR=20dB)")
plt.plot(t,m_snr_30, label="Corrupted A$\sharp$ Tone (SNR=30dB)")
plt.legend()
plt.title("Pure and Corrupted A$\sharp$ Tones")
plt.xlabel("Time (s)")
plt.show()
#sd.play(normalize_signal(s), samplerate=f_s, blocking=True)