madrigal/recording_generation
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M madrigal 2026-04-10 14:23:50 -04:00
parent 0270e7fcad
commit 1932b5365a
2 changed files with 3 additions and 7 deletions
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4
recording_generation.py
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@ -60,9 +60,7 @@ class RecordingGenerator:
def generate_wb(self, num: int = 2, length: int = 8192): def generate_wb(self, num: int = 2, length: int = 8192):
for i in range(num): for i in range(num):
recording = create_noise_recording( recording = create_noise_recording(length=length, rms_power=0.2, seed=num)
length=length, rms_power=0.2, seed=num
)
recording.to_npy(filename=f"wb{i + 1}", overwrite=True) recording.to_npy(filename=f"wb{i + 1}", overwrite=True)
print(f"wb{i + 1} file saved.") print(f"wb{i + 1} file saved.")

6
signal_generation.py
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@ -97,15 +97,13 @@ def create_lfm_recording(
def create_noise_recording( def create_noise_recording(
rms_power: float, rms_power: float, length: int, seed: int | None = None
length: int,
seed: int | None = None
) -> Recording: ) -> Recording:
"""Generate a Recording of Additive White Gaussian Noise (AWGN).""" """Generate a Recording of Additive White Gaussian Noise (AWGN)."""
# 1. Create a repeating pseudo-random envelope # 1. Create a repeating pseudo-random envelope
if seed is not None: if seed is not None:
np.random.seed(seed) np.random.seed(seed)
# 2. Sigma for complex AWGN: # 2. Sigma for complex AWGN:
sigma = np.sqrt(rms_power / 2) sigma = np.sqrt(rms_power / 2)