Tabla, a percussion instrument, mainly used to accompany vocalists, instrumentalists and dancers in every style of music from classical to light in India, mainly used for keeping rhythm. This percussion instrument consists of two drums played by two hands, structurally different and produces different harmonic sounds. Earlier work has done labeling tabla strokes from real time performances by t...

Renewable energy sources are gaining high prominence in today’s world. However, these sources do not supply energy throughout the year and hence efficiency is required when extracting energy from them. Wind energy is a recently developing area of common interest. Efficiency of a wind turbine is however, very low. Hence, detection of fault in the system becomes very essential so as to increase t...

Digital image security is of utmost importance in today’s scenario. This paper proposes a novel type of image security method involving Arnold transformation and frequency domain transformation i.e. Dual Tree Complex wavelet transform (DTCWT) .The main idea here is to decompose the cover image into sub-bands using dual tree complex wavelet transform and then applying Arnold Transform to the wat...

0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.04.149 ⇑ Corresponding author. Address: Department o Engineering, Zonguldak Karaelmas University, Engine dak, Turkey. Tel.: +90 372 257 5446; fax: +90 372 25 E-mail address: [email protected] (M We introduced a multilayer perceptron neural network (MLPNN) based classification model as a diagnostic decision support ...

Accurate groundwater level modeling and forecasting contribute to civil projects, land use, citys planning and water resources management. Combined Wavelet-Artificial Neural Network (WANN) model has been widely used in recent years to forecast hydrological and hydrogeological phenomena. This study investigates the sensitivity of the pre-processing to the wavelet type and decomposition level in ...

In this study, an image denoising algorithm is presented, which takes into account wavelet thresholding and bilateral filtering in transform domain. The proposed algorithm gives an extension of the bilateral filter i.e., multiresolution bilateral filter, in which bilateral filtering is applied to the approximation sub bands and normal shrink is used for thresholding the wavelet coefficients of ...

In this paper, a novel 3D face recognition scheme by Sliding Complex Wavelet Structural SIMilarity (SCW-SSIM) index carried out on detailed geometry images is proposed. First, the preprocessed 3D faces are mapped into geometry images on 2D plane. Then, a multi-scale wavelet transform is designed to decompose geometry image into a set of sub-images and denotes high-pass sub-images of wavelet tra...

This article presents a hybrid wavelet-based algorithm to suppress the ocular artifacts from electroencephalography (EEG) signals. The wavelet transform (HWT) method is designed by combination of discrete decomposition and packet transform. artifact suppression performed selection sub-bands obtained HWT. Fractional Gaussian noise (fGn) used as reference signal select containing artifacts. multi...

We present a novel integrated wavelet-domain based framework (w-ICA) for 3-D denoising functional magnetic resonance imaging (fMRI) data followed by source separation analysis using independent component analysis (ICA) in the wavelet domain. We propose the idea of a 3-D wavelet-based multi-directional denoising scheme where each volume in a 4-D fMRI data set is sub-sampled using the axial, sagi...

The dyadic wavelet has good multi-scale edge detection and sub-band correlation features. Contourlet transformation has multi-directional characteristics. So a new dyadic nonsampling contourlet transformation is constructed. Firstly, multi-scale decomposition is performed on source images using dyadic contourlet transform to get high-frequency and low-frequency images. And then, according to th...