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106 articles for “Wavelet Transform (WT)”

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Research ArticleOpen accessIn the abstractIdentification of Defects in Composite Materials Using an Improved Wavelet Analysis AlgorithmYahiaoui Aicha, Si-Chaib Med, O.A. ChellilProblem statement: The present work carries on the use of a method based on the wavelet transform to detect internal flaws of composite materials. The objective of this work consists in working out a data processing sequence of an ultrasonic signal identifying nearly flaws in composite laminate materials and estimating their position. Approach: The use of a numerical signal processing … …Physics International, Vol. 2, Issue 2 · 12 Mar 2012 · 8,163 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiresolution Analysis Based Effective Diagnosis of Induction MotorsHouda Ben Attia Sethom, Mediha Ajjabi GhedamsiProblem statement: Effective detection and localization of unbalance voltage supply affecting an induction motor may be compromised in presence of additionnal noise. Approach: In order to overcome the non possibility of the default detection and localization in presence of noise, the use of the discrete wavelet transform and especially the MultiResolution Analysis algorithm, to remove efficiently the noise associated to … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 20 Feb 2012 · 8,102 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Ventricular Late Potential Classification System Using Ant Colony OptimizationA. Sankara Subramanian, G. Gurusamy, G. SelvakumarProblem statement: Ventricular Late Potentials (VLPs) are low-level high frequency signals that are usually found within the terminal part of the QRS complex from patients after myocardial infarction. Patients with VLPs are at risk of developing ventricular tachycardia, which is the major cause of death if patients suffering from heart disease. Approach: Discrete Wavelet Transform was used to detect VLPs … …Journal of Computer Science, Vol. 8, Issue 2 · 30 Nov 2011 · 6,883 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet Analysis and Orthogonal Moments based Classification of Microcalcification in Digital MammogramsN. V.S. Sree Rathna Lakshmi, C. ManoharanProblem statement: An important early sign of breast cancer is the clusters of micro calcifications in digital mammograms. To assist radiologists in the diagnosis of mammographic clusters a novel hybrid algorithm has been developed. Approach: A method, for detecting micro calcification in mammograms based on combined feature set with Ant Colony Optimization (ACO) was proposed. The diagonal matrix ‘S’ obtained … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 6,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Image Compression Using Fuzzy C-Means Based Contourlet TransformM. Tamilarasi, V. PalanisamyProblem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT applied to the rest … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Robust Hybrid Approach to Enhance Speech in Mobile Communication SystemsManimegalai Govindan Sumithra, Keppana Gounder Thanuskodi, Bharathi DeepaProblem statement: The received voice signal in mobile communication is often disturbed by background noise and hence there is a need for good noise reduction methods for enhancing Speech. It is well known that denoising is a compromise between the removal of the largest possible amount of noise and the preservation of signal integrity. To address this issue, a new … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeasonal Time Series Data Forecasting by Using Neural Networks Multiscale Autoregressive ModelSuhartono, B. S.S. Ulama, A. J. EndhartaProblem statement: The aim of this research was to study further some latest progress of wavelet transform for time series forecasting, particularly about Neural Networks Multiscale Autoregressive (NN-MAR). Approach: There were three main issues that be considered further in this research. The first was some properties of scale and wavelet coefficients from Maximal Overlap Discrete Wavelet Transform (MODWT) decomposition, particularly … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuccessive Image Interpolation Using Lifting Scheme ApproachRohini S. Asamwar, Kishor Bhurchandi, A. S. GandhiProblem statement: Fast and accurate interpolation and resizing of images and video frames is a much sought after research area in multimedia applications. The more accurate schemes are computationally expensive and require more time for execution. We proposed here Discrete Wavelet Transform (DWT) using lifting scheme as an accurate and computationally inexpensive interpolation technique for image resizing. Approach: In this … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,573 accessesView PDFCite
Research ArticleOpen accessIn the abstractWave V Detection Using Instantaneous Energy of Auditory Brainstem Response SignalM. M. Rushaidin, Sh-Hussain Salleh, Tan Tian Swee et al.Problem statement: ABR machine is a well known machine that has been used on detection of hearing problem especially for babies or children. In ABR, wave V is the most prominent and robust wave that has been used as indicator of hearing loss. However, a fast detection of the wave V is necessary in order to implement newborn hearing screening. … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet-Based Geometry Coding for Three Dimensional Mesh Using Space Frequency QuantizationShymaa T. El-Leithy, Walaa M. ShetaProblem statement: Recently, 3D objects have been used in several applications like internet games, virtual reality and scientific visualization. These applications require real time rendering and fast transmission of large objects through internet. However, due to limitation of bandwidth, the compression and streaming of 3D object is still an open research problem. Approach: Novel procedure for compression and coding of … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 6,603 accessesView PDFCite