def set_notch11_parameter(self, data, status):
"""根据tuning对话框返回值设置参数及UI界面"""
self.notch11_status = status
if status:
self.amplitudeSlider_4.setEnabled(False)
self.label_28.setEnabled(False)
self.label_29.setEnabled(False)
self.frequencySpin_4.setEnabled(False)
self.btn_notch11_tuning.setDefault(True) # 按键标记
self.two_order_filter_data_11 = data
if self.filter01_radioButton_notch_4.isChecked():
self.pixmapLabel_4.setPixmap(
QtGui.QPixmap(':/mic/icon/tuning.png'))
elif self.filter01_radioButton_bypass_4.isChecked():
self.pixmapLabel_4.setPixmap(
QtGui.QPixmap(':/mic/icon/Bypass.png'))
else:
self.pixmapLabel_4.setPixmap(
QtGui.QPixmap(":/mic/icon/HighPass.png"))
else:
r_notch = R_value2map_2(self.default_notch_r_value)
r_notch_half = R_value2map_2(self.default_notch_r_value * 0.5)
self.amplitudeSlider_4.setEnabled(True)
self.label_28.setEnabled(True)
self.label_29.setEnabled(True)
self.frequencySpin_4.setEnabled(True)
self.btn_notch11_tuning.setDefault(False) # 取消按键标记
self.two_order_filter_data_11 = dict(C1_value='22n',
C2_value='22n',
C_value_double='47n',
R1_value=r_notch,
R2_value=r_notch,
R_half_value=r_notch_half,
R_gain_value=0)
self.setupC_value_11() # 重新设置阻容参数
self.setupR_value_11()
if self.filter01_radioButton_notch_4.isChecked():
self.pixmapLabel_4.setPixmap(
QtGui.QPixmap(':/mic/icon/Filter.png'))
elif self.filter01_radioButton_bypass_4.isChecked():
self.pixmapLabel_4.setPixmap(
QtGui.QPixmap(':/mic/icon/Bypass.png'))
else:
self.pixmapLabel_4.setPixmap(
QtGui.QPixmap(":/mic/icon/HighPass.png"))
def set_module_17_data(self):
self.peak02_gain = self.peak_gain_spin_2.value() # 记录peak01 gain
self.OP_gain_spin_2.setValue(
self.peak_gain_spin_2.value()) # 同步op gain & peak gain
gain = self.peak_gain_spin_2.value()
f = self.peak_frequency_spin_2.value()
pos_r_high = self.peak_lowpass_slider_2.value()
pos_r_gain = self.peak_attenuation_slider_2.value()
if self.peak17_status is False:
if gain == 0:
self.module17 = None
else:
Rb = get_Rb_value(gain)[1]
R1 = 10000 * Rb / (Rb - 20000)
c_value = 1 / (1.414 * np.pi * R1 * f) # 中心频率有1.414倍偏移
R3 = 2 * R1
r_high_cut = R3 / (R3**(pos_r_high / 61))
self.op_peak_data_2['R1_value'] = R_value2map(R1)
self.op_peak_data_2['R2_value'] = R_value2map(R1)
self.op_peak_data_2['R_half_value'] = R_value2map(R1 / 2)
self.op_peak_data_2['C1_value'] = c_value2map(c_value)
self.op_peak_data_2['C2_value'] = c_value2map(c_value)
self.op_peak_data_2['C_value_double'] = c_value2map_dubble(
c_value)
self.op_peak_data_2['R_gain_value'] = get_R_value(pos_r_gain)
self.op_peak_data_2['R_high_cut'] = R_value2map_2(r_high_cut)
if self.OP_peak_filter_enable_2.isChecked():
self.module17 = 'peak_ams'
# print(self.op_peak_data_2)
else:
if self.OP_peak_filter_enable_2.isChecked():
self.module17 = 'peak_ams'
def set_peak17_parameter(self, data, status):
"""根据tuning对话框返回值设置参数及UI界面"""
self.peak17_status = status
if status:
self.btn_peak17_tuning.setDefault(True) # 按键标记
self.label_26.setPixmap(QtGui.QPixmap(':/mic/icon/tuning.png'))
self.set_module_17()
self.op_peak_data_2 = data
else:
r_peak = R_value2map_2(self.default_peak_r_value)
r_peak_half = R_value2map_2(self.default_peak_r_value * 0.5)
r_peak_double = R_value2map_2(self.default_peak_r_value * 2)
self.btn_peak17_tuning.setDefault(False) # 按键标记
self.label_26.setPixmap(QtGui.QPixmap(':/mic/icon/peak.png'))
self.op_peak_data_2 = dict(C1_value='8.2n',
C2_value='8.2n',
C_value_double='15n',
R1_value=r_peak,
R2_value=r_peak,
R_half_value=r_peak_half,
R_gain_value=0,
R_high_cut=r_peak_double)
self.set_module_17()
def set_module_18_data(self, module=None):
gain = self.OP_gain_spin_2.value()
f = self.frequencySpin_OP_lowpass_2.value()
C1 = 4.7e-3
k = 100 / (f * C1)
R2 = 1.306e3
R1 = R2 / (10**(gain / 20))
R3 = R1 * R2 / (R1 + R2)
num = [-764.6, 0, 1.111e5] # 构造根据gain获得C2电容值传递函数
den = [1, 0, 1528]
Gd = control.tf(num, den)
x = list(range(21))
y = control.frd(Gd, x)
C = float(y.eval(gain).real)
if module == 'bessel':
K = k * 1
r1 = R1 * K
r2 = R2 * K
r3 = R3 * K
C2 = C * 13 / 68 * 1e-9
self.two_order_lowpass_data_2['R1_value'] = R_value2map_2(r1)
self.two_order_lowpass_data_2['R2_value'] = R_value2map_2(r2)
self.two_order_lowpass_data_2['R3_value'] = R_value2map_2(r3)
self.two_order_lowpass_data_2['C2_value'] = c_value2map(C2)
elif module == 'butterworth':
K = k * 0.9
r1 = R1 * K
r2 = R2 * K
r3 = R3 * K
C2 = C * 18 / 68 * 1e-9
self.two_order_lowpass_data_2['R1_value'] = R_value2map_2(r1)
self.two_order_lowpass_data_2['R2_value'] = R_value2map_2(r2)
self.two_order_lowpass_data_2['R3_value'] = R_value2map_2(r3)
self.two_order_lowpass_data_2['C2_value'] = c_value2map(C2)
elif module == 'chebyshev-1':
K = k * 0.85
r1 = R1 * K
r2 = R2 * K
r3 = R3 * K
C2 = C * 24 / 68 * 1e-9
self.two_order_lowpass_data_2['R1_value'] = R_value2map_2(r1)
self.two_order_lowpass_data_2['R2_value'] = R_value2map_2(r2)
self.two_order_lowpass_data_2['R3_value'] = R_value2map_2(r3)
self.two_order_lowpass_data_2['C2_value'] = c_value2map(C2)
elif module == 'chebyshev-2':
K = k * 0.8
r1 = R1 * K
r2 = R2 * K
r3 = R3 * K
C2 = C * 50 / 68 * 1e-9
self.two_order_lowpass_data_2['R1_value'] = R_value2map_2(r1)
self.two_order_lowpass_data_2['R2_value'] = R_value2map_2(r2)
self.two_order_lowpass_data_2['R3_value'] = R_value2map_2(r3)
self.two_order_lowpass_data_2['C2_value'] = c_value2map(C2)
elif module == 'chebyshev-3':
K = k * 0.75
r1 = R1 * K
r2 = R2 * K
r3 = R3 * K
C2 = C * 1e-9
self.two_order_lowpass_data_2['R1_value'] = R_value2map_2(r1)
self.two_order_lowpass_data_2['R2_value'] = R_value2map_2(r2)
self.two_order_lowpass_data_2['R3_value'] = R_value2map_2(r3)
self.two_order_lowpass_data_2['C2_value'] = c_value2map(C2)
else:
pass
def set_op2_default_data(self):
r_notch = R_value2map_2(self.default_notch_r_value)
r_notch_half = R_value2map_2(self.default_notch_r_value * 0.5)
r_peak = R_value2map_2(self.default_peak_r_value)
r_peak_half = R_value2map_2(self.default_peak_r_value * 0.5)
r_peak_double = R_value2map_2(self.default_peak_r_value * 2)
r_peak_shelf = R_value2map_2(self.default_peak_r_value * 11)
r_op_gain = R_value2map_2(self.default_op_gain_r_value)
self.two_order_filter_data_11 = dict(C1_value='22n',
C2_value='22n',
C_value_double='47n',
R1_value=r_notch,
R2_value=r_notch,
R_half_value=r_notch_half,
R_gain_value=0)
self.two_order_filter_data_12 = dict(C1_value='22n',
C2_value='22n',
C_value_double='47n',
R1_value=r_notch,
R2_value=r_notch,
R_half_value=r_notch_half,
R_gain_value=0)
self.one_order_highpass_data_2 = dict(C_value='22n', R_value=r_notch)
self.one_order_lowpass_data_2 = dict(C_value='22n', R_value=r_notch)
self.op_gain_data_2 = dict(Ra_value=r_op_gain, Rb_value=r_op_gain)
self.op_lowpass_data_2 = dict(C_value='4.7n')
self.high_shelf_data_2 = dict(C_value='470p', R_value=r_peak_shelf)
self.low_shelf_data_2 = dict(C_value='470p', R_value=r_peak_shelf)
self.op_peak_data_2 = dict(C1_value='8.2n',
C2_value='8.2n',
C_value_double='15n',
R1_value=r_peak,
R2_value=r_peak,
R_half_value=r_peak_half,
R_gain_value=0,
R_high_cut=r_peak_double)
self.two_order_lowpass_data_2 = dict(R1_value='27k',
R2_value='27k',
R3_value='13k',
C1_value='4.7n',
C2_value='12n')
# 默认module11参数
self.pixmapLabel_4.setPixmap(QtGui.QPixmap(':/mic/icon/Bypass.png'))
self.amplitudeSlider_4.setHidden(True)
self.frequencySpin_4.setHidden(True)
self.frequencySpin_highpass_2.setHidden(True)
self.label_Slider_value_14.setText('None')
# 默认module12参数
self.pixmapLabel_3.setPixmap(QtGui.QPixmap(':/mic/icon/Bypass.png'))
self.amplitudeSlider_3.setHidden(True)
self.frequencySpin_3.setHidden(True)
self.frequencySpin_lowpass_2.setHidden(True)
self.label_Slider_value_5.setText('None')
# 默认module13参数
self.label_24.setPixmap(QtGui.QPixmap(':/mic/icon/lowpass.png'))
# module 08 peak filter参数
self.label_26.setPixmap(QtGui.QPixmap(':/mic/icon/peak.png'))