本文整理汇总了Python中ATK.EQ.DoubleButterworthLowPassFilter.set_input_sampling_rate方法的典型用法代码示例。如果您正苦于以下问题：Python DoubleButterworthLowPassFilter.set_input_sampling_rate方法的具体用法？Python DoubleButterworthLowPassFilter.set_input_sampling_rate怎么用？Python DoubleButterworthLowPassFilter.set_input_sampling_rate使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ATK.EQ.DoubleButterworthLowPassFilter的用法示例。
在下文中一共展示了DoubleButterworthLowPassFilter.set_input_sampling_rate方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: filter_4
# 需要导入模块: from ATK.EQ import DoubleButterworthLowPassFilter [as 别名]
# 或者: from ATK.EQ.DoubleButterworthLowPassFilter import set_input_sampling_rate [as 别名]
def filter_4(input):
import numpy as np
output = np.zeros(input.shape, dtype=np.float64)
infilter = DoubleInPointerFilter(input, False)
infilter.set_input_sampling_rate(48000)
overfilter = DoubleOversampling6points5order_4Filter()
overfilter.set_input_sampling_rate(48000)
overfilter.set_output_sampling_rate(48000 * 4)
overfilter.set_input_port(0, infilter, 0)
overdrivefilter = DoubleSimpleOverdriveFilter()
overdrivefilter.set_input_sampling_rate(48000 * 4)
overdrivefilter.set_input_port(0, overfilter, 0)
lowpassfilter = DoubleButterworthLowPassFilter()
lowpassfilter.set_input_sampling_rate(48000 * 4)
lowpassfilter.set_cut_frequency(48000)
lowpassfilter.set_order(5)
lowpassfilter.set_input_port(0, overdrivefilter, 0)
decimationfilter = DoubleDecimationFilter(1)
decimationfilter.set_input_sampling_rate(48000 * 4)
decimationfilter.set_output_sampling_rate(48000)
decimationfilter.set_input_port(0, lowpassfilter, 0)
outfilter = DoubleOutPointerFilter(output, False)
outfilter.set_input_sampling_rate(48000)
outfilter.set_input_port(0, decimationfilter, 0)
outfilter.process(input.shape[1])
return output示例2: filter_32
# 需要导入模块: from ATK.EQ import DoubleButterworthLowPassFilter [as 别名]
# 或者: from ATK.EQ.DoubleButterworthLowPassFilter import set_input_sampling_rate [as 别名]
def filter_32(input):
import numpy as np
output = np.zeros(input.shape, dtype=np.float64)
infilter = DoubleInPointerFilter(input, False)
infilter.set_input_sampling_rate(48000)
overfilter = DoubleOversampling6points5order_32Filter()
overfilter.set_input_sampling_rate(48000)
overfilter.set_output_sampling_rate(48000 * 32)
overfilter.set_input_port(0, infilter, 0)
overdrivefilter = DoubleFollowerTransistorClassAFilter.build_standard_filter()
overdrivefilter.set_input_sampling_rate(48000 * 32)
overdrivefilter.set_input_port(0, overfilter, 0)
lowpassfilter = DoubleButterworthLowPassFilter()
lowpassfilter.set_input_sampling_rate(48000 * 32)
lowpassfilter.set_cut_frequency(48000)
lowpassfilter.set_order(5)
lowpassfilter.set_input_port(0, overdrivefilter, 0)
decimationfilter = DoubleDecimationFilter(1)
decimationfilter.set_input_sampling_rate(48000 * 32)
decimationfilter.set_output_sampling_rate(48000)
decimationfilter.set_input_port(0, lowpassfilter, 0)
outfilter = DoubleOutPointerFilter(output, False)
outfilter.set_input_sampling_rate(48000)
outfilter.set_input_port(0, decimationfilter, 0)
outfilter.process(input.shape[1])
return output示例3: filter_32
# 需要导入模块: from ATK.EQ import DoubleButterworthLowPassFilter [as 别名]
# 或者: from ATK.EQ.DoubleButterworthLowPassFilter import set_input_sampling_rate [as 别名]
def filter_32(input):
import numpy as np
output = np.zeros(input.shape, dtype=np.float64)
infilter = DoubleInPointerFilter(input, False)
infilter.set_input_sampling_rate(sample_rate)
overfilter = DoubleOversampling6points5order_32Filter()
overfilter.set_input_sampling_rate(sample_rate)
overfilter.set_output_sampling_rate(sample_rate * 32)
overfilter.set_input_port(0, infilter, 0)
overdrivefilter = DoubleSD1OverdriveFilter(1)
overdrivefilter.set_input_sampling_rate(sample_rate * 32)
overdrivefilter.set_input_port(0, overfilter, 0)
overdrivefilter.set_drive(0.9)
lowpassfilter = DoubleButterworthLowPassFilter()
lowpassfilter.set_input_sampling_rate(sample_rate * 32)
lowpassfilter.set_cut_frequency(20000)
lowpassfilter.set_order(5)
lowpassfilter.set_input_port(0, overdrivefilter, 0)
# lowpassfilter2 = DoubleButterworthLowPassFilter()
# lowpassfilter2.set_input_sampling_rate(sample_rate * 32)
# lowpassfilter2.set_cut_frequency(20000)
# lowpassfilter2.set_order(5)
# lowpassfilter2.set_input_port(0, lowpassfilter, 0)
# lowpassfilter3 = DoubleButterworthLowPassFilter()
# lowpassfilter3.set_input_sampling_rate(sample_rate * 32)
# lowpassfilter3.set_cut_frequency(20000)
# lowpassfilter3.set_order(5)
# lowpassfilter3.set_input_port(0, lowpassfilter2, 0)
decimationfilter = DoubleDecimationFilter(1)
decimationfilter.set_input_sampling_rate(sample_rate * 32)
decimationfilter.set_output_sampling_rate(sample_rate)
decimationfilter.set_input_port(0, lowpassfilter, 0)
tonefilter = DoubleSD1ToneFilter()
tonefilter.set_input_sampling_rate(sample_rate)
tonefilter.set_input_port(0, decimationfilter, 0)
tonefilter.set_tone(1)
highpassfilter = DoubleChamberlinFilter()
highpassfilter.set_input_sampling_rate(sample_rate)
highpassfilter.set_input_port(0, tonefilter, 0)
highpassfilter.select(2)
highpassfilter.set_attenuation(1)
highpassfilter.set_cut_frequency(20)
outfilter = DoubleOutPointerFilter(output, False)
outfilter.set_input_sampling_rate(sample_rate)
outfilter.set_input_port(0, highpassfilter, 0)
outfilter.process(input.shape[1])
return output示例4: filter_low
# 需要导入模块: from ATK.EQ import DoubleButterworthLowPassFilter [as 别名]
# 或者: from ATK.EQ.DoubleButterworthLowPassFilter import set_input_sampling_rate [as 别名]
def filter_low(input):
import numpy as np
output = np.zeros(input.shape, dtype=np.float64)
infilter = DoubleInPointerFilter(input, False)
infilter.set_input_sampling_rate(48000)
lowpassfilter = DoubleButterworthLowPassFilter()
lowpassfilter.set_input_sampling_rate(48000)
lowpassfilter.set_cut_frequency(1000)
lowpassfilter.set_order(5)
lowpassfilter.set_input_port(0, infilter, 0)
print lowpassfilter.get_coefficients_in()
print lowpassfilter.get_coefficients_out()
outfilter = DoubleOutPointerFilter(output, False)
outfilter.set_input_sampling_rate(48000)
outfilter.set_input_port(0, lowpassfilter, 0)
outfilter.process(input.shape[1])
return output