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6 changes: 3 additions & 3 deletions precoder_interpolation.py
Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@ def apply_sigmainterp(self,sigma_list,Nr,qtCodebook=None):
interpolated_S_list=np.zeros((self.num_subcarriers, Nr),dtype=complex)
for i in range(self.num_fb_points-1):
thS_current=sigma_list[feedback_indices[i]]
thS_next=sigma_list[feedback_indices[i]]
thS_next=sigma_list[feedback_indices[i+1]]
if(qtCodebook is not None):
S_current=qtCodebook[np.argmin([la.norm(thS_current-codeword) for codeword in qtCodebook])]
S_next=qtCodebook[np.argmin([la.norm(thS_next-codeword)\
Expand Down Expand Up @@ -153,8 +153,8 @@ def find_orientation_matrix(self, U0, U1):

def convex_interpolation(self, S_current, S_next, num_indices_to_be_filled, last_fill_flag=False):
t=np.linspace(0,1,num=num_indices_to_be_filled+1, endpoint=False)
interpolation_fn= lambda t:t*S_current+(1-t)*S_next
interpolation_fn= lambda t:(1-t)*S_current+t*S_next
S_interpolate=list(map(interpolation_fn,t))
if(last_fill_flag):
S_interpolate.append(S_next)
return np.array(S_interpolate)
return np.array(S_interpolate)