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修复了fit_constant==False的bug,但是不建议使用

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mayge
2025-09-24 04:30:10 -04:00
parent ae98a7acb1
commit 1ce76ff4dc
1 changed files with 7 additions and 7 deletions
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14
core/MultiplePortQR.py
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@@ -161,7 +161,7 @@ class MultiplePortQR:
M_kp = None M_kp = None
for i in range(self.ports): for i in range(self.ports):
for j in range(self.ports): for j in range(self.ports):
M0 = np.zeros((K,N*ports**2),dtype=complex) M0 = np.zeros((K,N*self.ports**2),dtype=complex)
M0[:,index*N:(index+1)*N] = Phi M0[:,index*N:(index+1)*N] = Phi
M0 = np.hstack([M0, -(H[:,i,j].reshape(-1,1) * Phi)]).reshape((K, -1))[keep,:] # (K, 2N), complex M0 = np.hstack([M0, -(H[:,i,j].reshape(-1,1) * Phi)]).reshape((K, -1))[keep,:] # (K, 2N), complex
index+=1 index+=1
@@ -225,10 +225,10 @@ class MultiplePortQR:
H_kp = None H_kp = None
for i in range(self.ports): for i in range(self.ports):
for j in range(self.ports): for j in range(self.ports):
H_kp0 = weights_kp @ (H[:,i,j]).reshape(1,-1)[keep,:] H_0 = H[:,i,j][keep]
H_kp = H_kp0 if H_kp is None else np.hstack([H_kp, H_kp0]) H_kp = H_0 if H_kp is None else np.hstack([H_kp, H_0])
assert H_kp is not None assert H_kp is not None
H_kp = H_kp.reshape(-1,1) H_kp = weights_kp @ H_kp.reshape(-1,1)
b_re = np.real(d0 * H_kp) b_re = np.real(d0 * H_kp)
b_im = np.imag(d0 * H_kp) b_im = np.imag(d0 * H_kp)
@@ -318,14 +318,14 @@ if __name__ == "__main__":
network = rf.Network(f"/tmp/paramer/simulation/{id}/{id}.s2p") network = rf.Network(f"/tmp/paramer/simulation/{id}/{id}.s2p")
# network = rf.data.ring_slot # network = rf.data.ring_slot
ports = network.nports ports = network.nports
K = 5 K = 10
full_freqences = network.f[start_point:] full_freqences = network.f[start_point:]
noised_sampled_points = network.y[start_point:,:,:].reshape(-1,ports,ports) noised_sampled_points = network.y[start_point:,:,:].reshape(-1,ports,ports)
sampled_points = network.y[start_point:,:,:].reshape(-1,ports,ports) sampled_points = network.y[start_point:,:,:].reshape(-1,ports,ports)
# noised_sampled_points = network.y[start_point:,0,0].reshape(-1,1,1) # noised_sampled_points = network.y[start_point:,1,0].reshape(-1,1,1)
# sampled_points = network.y[start_point:,0,0].reshape(-1,1,1) # sampled_points = network.y[start_point:,1,0].reshape(-1,1,1)
H,freqs = auto_select_multple_ports(noised_sampled_points,full_freqences,max_points=20) H,freqs = auto_select_multple_ports(noised_sampled_points,full_freqences,max_points=20)
poles = generate_starting_poles(2,beta_min=1e4,beta_max=freqs[-1]*1.1) poles = generate_starting_poles(2,beta_min=1e4,beta_max=freqs[-1]*1.1)