def filter(input, reference): import numpy as np output = np.zeros(input.shape, dtype=np.float64) infilter = DoubleInPointerFilter(input, False) infilter.input_sampling_rate = 48000 reffilter = DoubleInPointerFilter(reference, False) reffilter.input_sampling_rate = 48000 rls = DoubleBlockLMSFilter(100) rls.input_sampling_rate = 48000 rls.memory = 0.999 rls.mu = 0.0001 rls.set_input_port(0, infilter, 0) rls.set_input_port(1, reffilter, 0) outfilter = DoubleOutPointerFilter(output, False) outfilter.input_sampling_rate = 48000 outfilter.set_input_port(0, rls, 0) outfilter.process(input.shape[1]) return output
def BlockLMS_set_size_test(): import numpy as np blms = DoubleBlockLMSFilter(100) blms.w = np.ones((200,))
def BlockLMS_bad_dim_test(): import numpy as np blms = DoubleBlockLMSFilter(100) blms.w = np.array((100,100))
def BlockLMS_get_size_test(): import numpy as np blms = DoubleBlockLMSFilter(100) w = blms.w
def BlockLMS_set_size_test(): import numpy as np blms = DoubleBlockLMSFilter(100) blms.w = np.ones((200, ))
def BlockLMS_bad_dim_test(): import numpy as np blms = DoubleBlockLMSFilter(100) blms.w = np.array((100, 100))