def LPmin(self, fil_dict):
self.get_params(fil_dict)
(self.N, F, A, W) = pyfda_lib.remezord([self.F_PB, self.F_SB], [1, 0],
[self.A_PB, self.A_SB], Hz = 1, alg = self.alg)
fil_dict['F_C'] = (self.F_SB + self.F_PB)/2 # use average of calculated F_PB and F_SB
self.save(fil_dict, sig.firwin(self.N, fil_dict['F_C'],
window = self.firWindow, nyq = 0.5))
def HPmin(self, fil_dict):
self.get_params(fil_dict)
(self.N, F, A, W) = pyfda_lib.remezord([self.F_SB, self.F_PB], [0, 1],
[self.A_SB, self.A_PB],
Hz=1,
alg=self.alg)
# self.N = pyfda_lib.ceil_odd(N) # enforce odd order
fil_dict['W_SB'] = W[0]
fil_dict['W_PB'] = W[1]
if (self.N % 2 == 0): # even order
self.save(
fil_dict,
sig.remez(self.N,
F, [0, 1],
weight=W,
Hz=1,
type='hilbert',
grid_density=self.grid_density))
else:
self.save(
fil_dict,
sig.remez(self.N,
F, [0, 1],
weight=W,
Hz=1,
type='bandpass',
grid_density=self.grid_density))
def HPmin(self, fil_dict):
self.get_params(fil_dict)
(N, F, A, W) = pyfda_lib.remezord([self.F_SB, self.F_PB], [0, 1],
[self.A_SB, self.A_PB], Hz = 1, alg = self.alg)
fil_dict['F_C'] = (self.F_SB + self.F_PB)/2 # use average of calculated F_PB and F_SB
self.N = pyfda_lib.round_odd(N) # enforce odd order
self.save(fil_dict, sig.firwin(self.N, fil_dict['F_C'],
window = self.firWindow, pass_zero=False, nyq = 0.5))
def LPmin(self, fil_dict):
self.get_params(fil_dict)
(self.N, F, A, W) = pyfda_lib.remezord([self.F_PB, self.F_SB], [1, 0],
[self.A_PB, self.A_SB], Hz = 1, alg = self.alg)
fil_dict['W_PB'] = W[0]
fil_dict['W_SB'] = W[1]
self.save(fil_dict, sig.remez(self.N, F, [1, 0], weight = W, Hz = 1,
grid_density = self.grid_density))
def BPmin(self, fil_dict):
self.get_params(fil_dict)
(self.N, F, A, W) = pyfda_lib.remezord([self.F_SB, self.F_PB,
self.F_PB2, self.F_SB2], [0, 1, 0],
[self.A_SB, self.A_PB, self.A_SB2], Hz = 1, alg = self.alg)
fil_dict['F_C'] = (self.F_SB + self.F_PB)/2 # use average of calculated F_PB and F_SB
fil_dict['F_C2'] = (self.F_SB2 + self.F_PB2)/2 # use average of calculated F_PB and F_SB
self.save(fil_dict, sig.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window = self.firWindow, pass_zero=False, nyq = 0.5))
def BSmin(self, fil_dict):
self.get_params(fil_dict)
(N, F, A, W) = pyfda_lib.remezord([self.F_PB, self.F_SB,
self.F_SB2, self.F_PB2], [1, 0, 1],
[self.A_PB, self.A_SB, self.A_PB2], Hz = 1, alg = self.alg)
self.N = pyfda_lib.round_odd(N) # enforce odd order
fil_dict['F_C'] = (self.F_SB + self.F_PB)/2 # use average of calculated F_PB and F_SB
fil_dict['F_C2'] = (self.F_SB2 + self.F_PB2)/2 # use average of calculated F_PB and F_SB
self.save(fil_dict, sig.firwin(self.N, [fil_dict['F_C'], fil_dict['F_C2']],
window = self.firWindow, pass_zero=True, nyq = 0.5))
def BSmin(self, fil_dict):
self.get_params(fil_dict)
(N, F, A, W) = pyfda_lib.remezord([self.F_PB, self.F_SB,
self.F_SB2, self.F_PB2], [1, 0, 1],
[self.A_PB, self.A_SB, self.A_PB2], Hz = 1, alg = self.alg)
self.N = pyfda_lib.round_odd(N) # enforce odd order
fil_dict['W_PB'] = W[0]
fil_dict['W_SB'] = W[1]
fil_dict['W_PB2'] = W[2]
self.save(fil_dict, sig.remez(self.N,F,[1, 0, 1], weight = W, Hz = 1,
grid_density = self.grid_density))
def HPmin(self, fil_dict):
self.get_params(fil_dict)
(self.N, F, A, W) = pyfda_lib.remezord([self.F_SB, self.F_PB], [0, 1],
[self.A_SB, self.A_PB], Hz = 1, alg = self.alg)
# self.N = pyfda_lib.ceil_odd(N) # enforce odd order
fil_dict['W_SB'] = W[0]
fil_dict['W_PB'] = W[1]
if (self.N % 2 == 0): # even order
self.save(fil_dict, sig.remez(self.N, F,[0, 1], weight = W, Hz = 1,
type = 'hilbert', grid_density = self.grid_density))
else:
self.save(fil_dict, sig.remez(self.N, F,[0, 1], weight = W, Hz = 1,
type = 'bandpass', grid_density = self.grid_density))
def LPmin(self, fil_dict):
self.get_params(fil_dict)
(self.N, F, A, W) = pyfda_lib.remezord([self.F_PB, self.F_SB], [1, 0],
[self.A_PB, self.A_SB],
Hz=1,
alg=self.alg)
fil_dict['W_PB'] = W[0]
fil_dict['W_SB'] = W[1]
self.save(
fil_dict,
sig.remez(self.N,
F, [1, 0],
weight=W,
Hz=1,
grid_density=self.grid_density))
def BSmin(self, fil_dict):
self.get_params(fil_dict)
(N, F, A, W) = pyfda_lib.remezord(
[self.F_PB, self.F_SB, self.F_SB2, self.F_PB2], [1, 0, 1],
[self.A_PB, self.A_SB, self.A_PB2],
Hz=1,
alg=self.alg)
self.N = pyfda_lib.round_odd(N) # enforce odd order
fil_dict['W_PB'] = W[0]
fil_dict['W_SB'] = W[1]
fil_dict['W_PB2'] = W[2]
self.save(
fil_dict,
sig.remez(self.N,
F, [1, 0, 1],
weight=W,
Hz=1,
grid_density=self.grid_density))
