Changed the way the codewords are mapped onto [0, 1]^n

This commit is contained in:
Andreas Tsouchlos 2022-11-07 15:02:55 +01:00
parent 6af243efba
commit 9348689292

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@ -79,10 +79,9 @@ class ProximalDecoder:
def _check_parity(self, y_hat: np.array) -> bool:
"""Perform a parity check for a given codeword.
:param y_hat: codeword to be checked (element of [-1, 1]^n)
:param y_hat: codeword to be checked (element of [0, 1]^n)
:return: True if the parity check passes, i.e. the codeword is valid. False otherwise
"""
y_hat_binary = (y_hat == 1) * 1 # Map the codeword from [-1, 1]^n to [0, 1]^n
syndrome = np.dot(self._H, y_hat) % 2
return not np.any(syndrome)
@ -96,15 +95,16 @@ class ProximalDecoder:
and 'w' is noise)
:return: Most probably sent dataword (element of [0, 1]^k)
"""
s = 0
x_hat = 0
s = np.zeros(y.size)
x_hat = np.zeros(y.size)
for k in range(self._K):
r = s - self._step_size * self._L_awgn(s, y)
s = r - self._gamma * self._grad_h(r)
s = self._projection(s) # Equation (15)
x_hat = (np.sign(s) == 1) * 1
x_hat = np.sign(s)
x_hat = (x_hat == 1) * 1 # Map the codeword from [-1, 1]^n to [0, 1]^n
if self._check_parity(x_hat):
break