cli #15

Merged
madrigal merged 28 commits from cli into main 2025-12-22 10:42:57 -05:00
4 changed files with 19 additions and 11 deletions
Showing only changes of commit 6ba108c908 - Show all commits

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@ -58,3 +58,6 @@ class Downsampling(Block):
:rtype: DataType :rtype: DataType
""" """
return DataType.BASEBAND_SIGNAL return DataType.BASEBAND_SIGNAL
def get_samples(self, num_samples):
raise NotImplementedError

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@ -51,6 +51,9 @@ class Upsampling(Block):
""" """
return DataType.UPSAMPLED_SYMBOLS return DataType.UPSAMPLED_SYMBOLS
def get_samples(self, num_samples):
raise NotImplementedError
def __call__(self, signal: np.ndarray) -> np.ndarray: def __call__(self, signal: np.ndarray) -> np.ndarray:
"""Upsample the input signal by inserting zeros between samples. """Upsample the input signal by inserting zeros between samples.

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@ -85,6 +85,7 @@ class RaisedCosineFilter(PulseShapingFilter):
""" """
t_symbol = self.upsampling_factor t_symbol = self.upsampling_factor
beta = self.beta beta = self.beta
with np.errstate(divide='ignore', invalid='ignore'):
f_val = ( f_val = (
1 1
/ t_symbol / t_symbol

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@ -86,6 +86,7 @@ class RootRaisedCosineFilter(PulseShapingFilter):
alpha = 4 * beta * t / t_symbol alpha = 4 * beta * t / t_symbol
t[t == 0] = 1e9 t[t == 0] = 1e9
with np.errstate(divide='ignore', invalid='ignore'):
f_val = (np.sin(np.pi * t / t_symbol * (1 - beta)) + alpha * np.cos(np.pi * t / t_symbol * (1 + beta))) / ( f_val = (np.sin(np.pi * t / t_symbol * (1 - beta)) + alpha * np.cos(np.pi * t / t_symbol * (1 + beta))) / (
np.pi * t * (1 - alpha**2) np.pi * t * (1 - alpha**2)
) )