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57 results for “wavelet analysis”
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Research ArticleOpen accessPhrase in the titleIdentification 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 accessPhrase in the titleWavelet 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 accessEvery word in the titleINDEPENDENT COMPONENT ANALYSIS AND DISCRETE WAVELET TRANSFORM FOR ARTIFACT REMOVAL IN BIOMEDICAL SIGNAL PROCESSINGSalvatore Calcagno, Fabio La Foresta, Mario VersaciRecent works have shown that artifact removal in biomedical signals can be performed by using Discrete Wavelet Transform (DWT) or Independent Component Analysis (ICA). It results often very difficult to remove some artifacts because they could be superimposed on the recordings and they could corrupt the signals in the frequency domain. The two conditions could compromise the performance of both … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 27 Nov 2013 · 7,848 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Wavelet, Curvelet, and Contourlet Transforms for Denoising Liver CT ImagesMajzoob Kamalaldin Omer AbdalrahmanLiver cancer is one of the leading causes of mortality worldwide, and early detection using CT imaging plays a critical role in patient survival. However, the quality of CT scans is often degraded by noise, particularly in low-dose imaging intended to minimize radiation exposure. This study presents a comprehensive comparison of three multiresolution transform techniques, namely the wavelet, curvelet, and … …Journal of Computer Science, Vol. 22, Issue 1 · 4 Feb 2026 · 2,117 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIMPROVED REAL-TIME FACE RECOGNITION BASED ON THREE LEVEL WAVELET DECOMPOSITION-PRINCIPAL COMPONENT ANALYSIS AND MAHALANOBIS DISTANCEEdy Winarno, Agus Harjoko, Aniati Murni Arymurthy, Edi WinarkoThe development of research in the field of real-time face recognition is a study that is being developed in the last decade. Face recognition is used to identify person from an image or video. Recognition rate and computation time of real-time face recognition is one of the big challenges that must be developed. This study proposes a model of face … …Journal of Computer Science, Vol. 10, Issue 5 · 17 Jan 2014 · 8,015 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of Discrete Wavelet Transform Based Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing System for Different Wavelets in Different Channel EnvironmentHariprasadNagarajan, AlameluNachiappanMultiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are the two assuring technologies that offers high data rate as required for the 4G wireless systems. Conventionally OFDM is Fast Fourier Transform (FFT) based system. It uses IFFT (Inverse FFT) blocks in the transmitter and FFT blocks in the receiver. OFDM combined with MIMO gives increased throughput and … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 18 Oct 2013 · 6,616 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of Multi Spectral Band Image Compression using Discrete Wavelet TransformR. Kousalyadevi, S. S. RamakrishnanProblem statement: Efficient and effective utilization of transmission bandwidth and storage capacity have been a core area of research for remote sensing images. Hence image compression is required for multi-band satellite imagery. In addition, image quality is also an important factor after compression and reconstruction. Approach: In this investigation, the discrete wavelet transform is used to compress the Landsat5 agriculture … …Journal of Computer Science, Vol. 8, Issue 5 · 6 Mar 2012 · 7,041 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,748 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Invariant Translation to Denoise Electroencephalogram SignalsJanett Walters-Williams, Yan LiProblem statement: Because of the distance between the skull and the brain and their different resistivity's, Electroencephalogram (EEG) recordings on a machine is usually mixed with the activities generated within the area called noise. EEG signals have been used to diagnose major brain diseases such as Epilepsy, narcolepsy and dementia. The presence of these noises however can result in misdiagnosis, … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 5 Oct 2011 · 7,508 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIdentification of Electrooculography Signals Frequency Energy Distribution Using Wavelet AlgorithmW.M. Bukhari, W. Daud, Rubita Sudirman, Camallil OmarProblem statement: The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favored tool for the analyzing the biomedical signals. Approach: We describe the identification of Electro-Oculograph (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. The capability of … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 8,551 accessesView PDFCite