def filter_4(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = 48000 overfilter = DoubleOversampling6points5order_4Filter() overfilter.input_sampling_rate = 48000 overfilter.output_sampling_rate = 48000 * 4 overfilter.set_input_port(0, infilter, 0) overdrivefilter = DoubleEnhancedKorenTriodeFilter.build_standard_filter() overdrivefilter.input_sampling_rate = 48000 * 4 overdrivefilter.set_input_port(0, overfilter, 0) lowpassfilter = DoubleButterworthLowPassFilter() lowpassfilter.input_sampling_rate = 48000 * 4 lowpassfilter.cut_frequency = 48000 lowpassfilter.order = 5 lowpassfilter.set_input_port(0, overdrivefilter, 0) decimationfilter = DoubleDecimationFilter(1) decimationfilter.input_sampling_rate = 48000 * 4 decimationfilter.output_sampling_rate = 48000 decimationfilter.set_input_port(0, lowpassfilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = 48000 outfilter.set_input_port(0, decimationfilter, 0) outfilter.process(input.shape[1]) return output
def filter_4(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = 48000 overfilter = DoubleOversampling6points5order_4Filter() overfilter.input_sampling_rate = 48000 overfilter.output_sampling_rate = 48000 * 4 overfilter.set_input_port(0, infilter, 0) overdrivefilter = DoubleLeachTriodeFilter.build_standard_filter() overdrivefilter.input_sampling_rate = 48000 * 4 overdrivefilter.set_input_port(0, overfilter, 0) lowpassfilter = DoubleButterworthLowPassFilter() lowpassfilter.input_sampling_rate = 48000 * 4 lowpassfilter.cut_frequency = 48000 lowpassfilter.order = 5 lowpassfilter.set_input_port(0, overdrivefilter, 0) decimationfilter = DoubleDecimationFilter(1) decimationfilter.input_sampling_rate = 48000 * 4 decimationfilter.output_sampling_rate = 48000 decimationfilter.set_input_port(0, lowpassfilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = 48000 outfilter.set_input_port(0, decimationfilter, 0) outfilter.process(input.shape[1]) return output
def filter_4(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) inputfilter = DoubleInPointerFilter(input, False) inputfilter.input_sampling_rate = sample_rate overfilter = DoubleOversampling6points5order_4Filter() overfilter.input_sampling_rate = sample_rate overfilter.output_sampling_rate = sample_rate * 4 overfilter.set_input_port(0, inputfilter, 0) overdrivefilter = DoubleSD1OverdriveFilter() overdrivefilter.input_sampling_rate = sample_rate * 4 overdrivefilter.set_input_port(0, overfilter, 0) overdrivefilter.drive = 0.9 lowpassfilter = DoubleButterworthLowPassFilter() lowpassfilter.input_sampling_rate = sample_rate * 4 lowpassfilter.cut_frequency = sample_rate lowpassfilter.order = 5 lowpassfilter.set_input_port(0, overdrivefilter, 0) decimationfilter = DoubleDecimationFilter(1) decimationfilter.input_sampling_rate = sample_rate * 4 decimationfilter.output_sampling_rate = sample_rate decimationfilter.set_input_port(0, lowpassfilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = sample_rate outfilter.set_input_port(0, decimationfilter, 0) outfilter.process(input.shape[1]) return output
def filter_4(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) inputfilter = DoubleInPointerFilter(input, False) inputfilter.input_sampling_rate = sample_rate overfilter = DoubleOversampling6points5order_4Filter() overfilter.input_sampling_rate = sample_rate overfilter.output_sampling_rate = sample_rate * 4 overfilter.set_input_port(0, inputfilter, 0) overdrivefilter = DoubleTS9OverdriveFilter() overdrivefilter.input_sampling_rate = sample_rate * 4 overdrivefilter.set_input_port(0, overfilter, 0) overdrivefilter.drive = 0.9 lowpassfilter = DoubleButterworthLowPassFilter() lowpassfilter.input_sampling_rate = sample_rate * 4 lowpassfilter.cut_frequency = sample_rate lowpassfilter.order = 5 lowpassfilter.set_input_port(0, overdrivefilter, 0) decimationfilter = DoubleDecimationFilter(1) decimationfilter.input_sampling_rate = sample_rate * 4 decimationfilter.output_sampling_rate = sample_rate decimationfilter.set_input_port(0, lowpassfilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = sample_rate outfilter.set_input_port(0, decimationfilter, 0) outfilter.process(input.shape[1]) return output
def filter_32(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = 48000 overfilter = DoubleOversampling6points5order_32Filter() overfilter.input_sampling_rate = 48000 overfilter.output_sampling_rate = 48000 * 32 overfilter.set_input_port(0, infilter, 0) overdrivefilter = DoubleDiodeClipperFilter() overdrivefilter.input_sampling_rate = 48000 * 32 overdrivefilter.set_input_port(0, overfilter, 0) lowpassfilter = DoubleButterworthLowPassFilter() lowpassfilter.input_sampling_rate = 48000 * 32 lowpassfilter.cut_frequency = 48000 lowpassfilter.order = 5 lowpassfilter.set_input_port(0, overdrivefilter, 0) decimationfilter = DoubleDecimationFilter(1) decimationfilter.input_sampling_rate = 48000 * 32 decimationfilter.output_sampling_rate = 48000 decimationfilter.set_input_port(0, lowpassfilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = 48000 outfilter.set_input_port(0, decimationfilter, 0) outfilter.process(input.shape[1]) return output
def filter_low(input): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = 48000 lowpassfilter = DoubleButterworthLowPassFilter() lowpassfilter.input_sampling_rate = 48000 lowpassfilter.cut_frequency = 1000 lowpassfilter.order = 5 lowpassfilter.set_input_port(0, infilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = 48000 outfilter.set_input_port(0, lowpassfilter, 0) outfilter.process(input.shape[1]) return output, lowpassfilter.coefficients_in, lowpassfilter.coefficients_out