Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network

摘要

ObjectiveIn biomedical signal classification, due to the huge amount of data, to compress the biomedical waveform data is vital. This paper presents two different structures formed using feature extraction algorithms to decrease size of feature set in training and test data.