The discrete wavelet transform (DWT) and discrete wavelet packet transform (DWPT) are used to extract and study the dynamics of coherent structures in a turbulent rotating fluid. Three-dimensional turbulence is generated by strong pumping through tubes at the bottom of a rotating tank (48.4 cm high, 39.4 cm diameter). This flow evolves toward two-dimensional (2D) turbulence with increasing heig...

introduction: evoked potentials arisen by stimulating the brain can be utilized as a communication tool  between humans and machines. most brain-computer interface (bci) systems use the p300 component,  which is an evoked potential. in this paper, we evaluate the use of the hidden markov model (hmm) for  detection of p300.  materials and methods: the wavelet transforms, wavelet-enhanced indepen...

Watermarking techniques are mainly used for protecting intellectual property right. This paper proposes a new hybrid nonblind video watermarking technique using wavelet contourlet transform and nonnegative matrix factorization Wavelet transform processed images are losing edge information. The Contourlet transform has good approximation properties for smooth 2D functions and finds a direct disc...

This work introduces a novel way to reduce point-wise noise introduced or exacerbated by image enhancement methods leveraging the Random Spray sampling approach. Due to the nature of the spray, the sampling structure used, output images for such methods tend to exhibit noise with unknown distribution. The proposed noise reduction method is based on the assumption that the non-enhanced image is ...

This paper is based on the glimpse of a comparative analysis of image edge enhancement techniques of synthetic aperture radar (SAR) images. The importance of edge enhancement is very much significant for SAR image recognition and other purposes. The first portion of this paper is based on a novel edge enhancement algorithm based on 2D wavelet transform. This method also signifies the motive to ...

The scattering transform network (STN) has a similar structure as that of convolutional neural network. We propose novel Monogenic Wavelet Scattering Network (MWSN) for 2D texture image classification through cascade monogenic wavelet filtering with nonlinear modulus and averaging operators by replacing the Morlet in standard STN. Our MWSN can extract useful hierarchical directional features in...

abstract background: a computer aided diagnosis system was established using the wavelet transform and neural network to differentiate malignant from benign in a   group of patients with histo-pathologically proved breast lesions based on the data derived independ­ently from time-intensity profile.   materials and methods: the per­formance of the artificial neural network (ann) was evaluated us...