… automatically select the optimal scale of wavelet transform to separate point targets from
clutter background. The steps of our automatic ship target detection algorithm are as follows. …

… It is an unmet challenge for early and automatic detection of AF, limiting efficient treatment
… on continuous wavelet transform and 2D convolutional neural networks (CNNs) to detect AF …

… ) signals for OSA detection. In this paper, a novel automatic OSA detection method using a
single-… A nonlinear feature extraction using wavelet transform (WT) coefficients obtained by an …

… In this paper, we proposed automatic detection of short-term AF segments mainly used the
… Automatic detection of short-term AF fragments can solve the problem of the high public …

… This necessitates the development of intelligent adaptive techniques for automatic detection
… fast Fourier transform (FFT), discrete wavelet transform (DWT), wavelet packet transform (…

… , a novel automatic fault detection method of the wheelset bearing, named AFDMLEWT, is
proposed based on the proposed multi-level empirical wavelet transform (MLEWT) and the …

… detection method based on PCG becomes urgent. The aim of this work is to design a reliable
algorithm for the automatic detection … ) and rational dilation wavelet transform (RDWT) are …

… This work deals with the automatic detection of focal EEG signals. Figures 5 and 6 are
typical RPS plot of rhythms of focal and non-focal EEG signals, respectively. The circles …

… , discrete wavelet transform (DWT) coupled with novel 1-dimensional hexadecimal local
pattern (1D-HLP) technique are employed for automated detection of arrhythmia detection. The …

From last two decade automatic detection of brain tumour in MR images is an emerging
area of research in medical science. A brain tumour is an abnormal mass of tissues in which …