Removed references to the R-Matrix; Comment changes

sw/decoders/naive_soft_decision.py

@@ -10,13 +10,11 @@ class SoftDecisionDecoder:
     one with the largest correlation.
     """
 
-    # TODO: Is 'R' actually called 'decoding matrix'?
     def __init__(self, G: np.array, H: np.array):
         """Construct a new SoftDecisionDecoder object.
 
         :param G: Generator matrix
         :param H: Parity check matrix
-        :param R: Decoding matrix
         """
         self._G = G
         self._H = H

sw/decoders/proximal.py

@@ -7,13 +7,11 @@ class ProximalDecoder:
     by Tadashi Wadayama, and Satoshi Takabe.
     """
 
-    # TODO: Is 'R' actually called 'decoding matrix'?
     def __init__(self, H: np.array, K: int = 100, step_size: float = 0.1,
                  gamma: float = 0.05, eta: float = 1.5):
         """Construct a new ProximalDecoder Object.
 
         :param H: Parity Check Matrix
-        :param R: Decoding matrix
         :param K: Max number of iterations to perform when decoding
         :param step_size: Step size for the gradient descent process
         :param gamma: Positive constant. Arises in the approximation of the prior PDF
@@ -54,7 +52,7 @@ class ProximalDecoder:
         """Project a vector onto [-eta, eta]^n in order to avoid numerical instability.
         Detailed in 3.2, p. 3 (Equation (15)).
 
-        :param x:
+        :param x: Vector to project
         :return: x clipped to [-eta, eta]^n
         """
         return np.clip(x, -self._eta, self._eta)