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c4c7a7176a
| Author | SHA1 | Date | |
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| c4c7a7176a | |||
| dcfad2e9e3 |
1
.gitignore
vendored
1
.gitignore
vendored
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@ -19,6 +19,7 @@ venv.bak/
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.vscode/
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# Generated files
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*.dat
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*.dot
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*.hdf5
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*.npy
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@ -2,11 +2,16 @@ import os
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import random
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import numpy as np
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from utils.data.recording import Recording
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from utils.io.recording import from_npy
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from signal_generation import (create_birdie_recording, create_ctnb_recording,
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create_lfm_recording, create_modulated_signal,
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create_noise_recording)
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from signal_generation import (
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create_birdie_recording,
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create_ctnb_recording,
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create_lfm_recording,
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create_modulated_signal,
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create_noise_recording,
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)
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class RecordingGenerator:
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@ -28,7 +33,9 @@ class RecordingGenerator:
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recording = create_modulated_signal(
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modulation=modulation, sps=sps, beta=roll_off, length=length
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)
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recording.to_npy(filename=f"{modulation}_{roll_off_str}")
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recording.to_npy(
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filename=f"{modulation}_{roll_off_str}", overwrite=True
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)
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print(f"{modulation}_{roll_off_str} file saved.")
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def generate_lfm(
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@ -48,22 +55,21 @@ class RecordingGenerator:
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)
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print(f"LFM chirp length: {int(self.sample_rate * chirp_period)}")
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recording.to_npy(filename=f"{chirp_type}_chirp")
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recording.to_npy(filename=f"{chirp_type}_chirp", overwrite=True)
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print(f"{chirp_type}_chirp file saved.")
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def generate_wb(self, num: int = 2, length: int = 8192):
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for i in range(num):
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recording = create_noise_recording(
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length=length,
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rms_power=0.2,
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length=length, rms_power=0.2, counter=random.choice([2, 4, 8, 16, 32])
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)
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recording.to_npy(filename=f"wb{i + 1}")
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recording.to_npy(filename=f"wb{i + 1}", overwrite=True)
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print(f"wb{i + 1} file saved.")
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def generate_ctnb(self, num: int = 2, length: int = 8192):
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for i in range(num):
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recording = create_ctnb_recording(length=length)
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recording.to_npy(filename=f"ctnb{i + 1}")
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recording.to_npy(filename=f"ctnb{i + 1}", overwrite=True)
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print(f"ctnb{i + 1} file saved.")
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def generate_birdie(self, num: int = 2, length: int = 8192, wave_num: int = 5):
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@ -73,9 +79,14 @@ class RecordingGenerator:
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length=length,
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wave_number=int(wave_num + i),
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)
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recording.to_npy(filename=f"birdie{i + 1}")
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recording.to_npy(filename=f"birdie{i + 1}", overwrite=True)
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print(f"birdie{i + 1} file saved.")
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def generate_zeros(self, length: int = 8192):
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data = np.zeros(shape=length, dtype=np.complex64)
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recording = Recording(data=data)
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recording.to_npy(filename="zero", overwrite=True)
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def convert_to_dat(
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self,
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source_directory: str = "recordings",
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@ -34,13 +34,9 @@ class ModulationRegistry:
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return cls._registry[mod_type]
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def periodic_random(length, divisor=4, seed=256):
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np.random.seed(seed)
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chunk = np.random.rand(int(length / divisor))
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return np.tile(chunk, divisor)
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def create_modulated_signal(modulation: str, sps: int, beta, length: int) -> Recording:
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def create_modulated_signal(
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modulation: str, sps: int, beta: float, length: int
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) -> Recording:
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"""Produces a modulated signal Recording."""
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mod_info = ModulationRegistry.get(modulation)
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if mod_info is None:
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@ -56,7 +52,7 @@ def create_modulated_signal(modulation: str, sps: int, beta, length: int) -> Rec
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num_bits_per_symbol=mod_info.bps,
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)
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upsampler = block_generator.Upsampling(factor=sps)
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filter = block_generator.RaisedCosineFilter(
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filter = block_generator.RootRaisedCosineFilter(
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span_in_symbols=10, upsampling_factor=sps, beta=beta
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)
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@ -66,37 +62,20 @@ def create_modulated_signal(modulation: str, sps: int, beta, length: int) -> Rec
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upsampled_symbols = upsampler([symbols])
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filtered_samples = filter([upsampled_symbols])
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output_recording = filtered_samples[length : length * 2]
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start = (len(filtered_samples) - length) // 2
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end = start + length
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output_recording = filtered_samples[start:end]
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return Recording(data=output_recording)
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metadata = {
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"modulation": modulation,
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"bits_per_symbol": mod_info.bps,
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"constellation": mod_info.constellation,
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"sps": sps,
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"beta": beta,
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"source": "signal.block_generator",
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}
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# Old create_modulated_signal code
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# def create_modulated_signal(modulation: str, sps: int, beta, length: int) -> Recording:
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# """Produces a modulated signal Recording."""
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# mod_info = ModulationRegistry.get(modulation)
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# if mod_info is None:
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# raise ValueError(f"Modulation {modulation} not in registry.")
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# source_block = block_generator.RandomBinarySource()
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# mapper_block = block_generator.Mapper(
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# constellation_type=mod_info.constellation,
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# num_bits_per_symbol=mod_info.bps,
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# )
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# upsampler_block = block_generator.Upsampling(factor=sps)
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# filter_block = block_generator.RaisedCosineFilter(upsampling_factor=sps, beta=beta)
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# mapper_block.connect_input([source_block])
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# upsampler_block.connect_input([mapper_block])
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# filter_block.connect_input([upsampler_block])
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# dividing_factor = sps * mod_info.bps
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# while length % dividing_factor != 0:
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# length = length + 1
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# double_length = length * 2
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# recording = filter_block.record(num_samples=double_length)
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# return Recording(data=recording.data[:, :length], metadata=recording.metadata)
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return Recording(data=output_recording, metadata=metadata)
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def create_lfm_recording(
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@ -120,10 +99,11 @@ def create_lfm_recording(
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def create_noise_recording(
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rms_power: float,
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length: int,
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counter: int,
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) -> Recording:
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"""Generate a Recording of Additive White Gaussian Noise (AWGN)."""
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# 1. Create a repeating pseudo-random envelope
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np.random.seed(256)
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np.random.seed(256 + counter)
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chunk = np.random.rand(length // 4)
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tiled = np.tile(chunk, 4)
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amplitude_envelope = np.sqrt(tiled)
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@ -145,11 +125,13 @@ def create_ctnb_recording(length: int) -> Recording:
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def create_birdie_recording(
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sample_rate: int, length: int, wave_number: int
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sample_rate: int, length: int, wave_number: int, sps: int = 1
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) -> Recording:
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recording_data = np.zeros(int(length))
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for _ in range(wave_number):
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frequency = np.random.choice(np.arange(-sample_rate / 2, sample_rate / 2))
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frequency = np.random.choice(
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np.arange(-sample_rate / (2 * sps), sample_rate / (2 * sps))
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)
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recording = complex_sine(
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sample_rate=int(sample_rate), length=int(length), frequency=int(frequency)
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)
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