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15 articles for “Fast Wavelet Transform”
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Research ArticleOpen accessIn the keywordsA Deep Convolutional Neural Wavelet Network for Classification of Medical ImagesRamzi Ben Ali, Ridha Ejbali, Mourad ZaiedThis work present a new solution for medical image classification using the Neural Network (NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the Adaboost algorithm. This method is divided in two stages: The learning stage and the classification stage. The first consists to extract the features using the FWT based on the MultiResolution Analysis (MRA). … …Journal of Computer Science, Vol. 14, Issue 11 · 11 Nov 2018 · 7,620 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClassifying Single Trail Electroencephalogram Using Gaussian Smoothened Fast Hartley Transform for Brain Computer Interface during Motor ImageryV. B. Deepa, P. Thangaraj, S. ChitraProblem statement: Brain-Computer Interface (BCI) is a emerging research area which translates the brain signals for any motor related actions into computer understandable signals by capturing the signal, processing the signal and classifying the motor imagery. This area of work finds various applications in neuroprosthetics. Mental activity leads to changes of electrophysiological signals like the Electroencephalogram (EEG) or Electrocorticogram (ECoG). … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,658 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Logic Decision Support System for Hypovigilance Detection based on CNN Feature Extractor and WN ClassifierInes Teyeb, Ahmed Snoun, Olfa Jemai, Mourad ZaiedFatigue and drowsiness are among the main causes of traffic accidents, just behind excessive speed and alcoholism. This paper deals with the problem of road safety. It attempts to present a driver vigilance monitoring system based on a video approach. This work aims at creating an assistive driving application employing eyes closure duration and head posture estimation as performant signs … …Journal of Computer Science, Vol. 14, Issue 11 · 22 Nov 2018 · 7,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Classification and Support Vector Machine for Detecting Epilepsyusing Electroencephalograph RecordsHeri Kuswanto, Mutiah Salamah, Muhammad Idrus FachruddinComplexity in data structure has led to the rapid development of computational statistics methods. Machine learning approaches have been introduced and applied to solve complex problems in many fields. This paper applies two common machine learning approaches, Random Forest (RF) and Support Vector Machine (SVM), in the detection of epilepsy. The diagnosis of epilepsy can usually only be made when … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 4 May 2017 · 8,134 accessesView PDFCite
Review ArticleOpen accessIn the abstractReview of Signal Processing Techniques for Detection of Power Quality EventsAbhijith Augustine, Ruban Deva Prakash, Rajy Xavier, Mareeta Cheriyan ParasseryThe challenging process industry requires true power for its smooth functioning and here comes the importance of good power or power. The term Power Quality (PQ) aims at supplying true power to the process. The scope of the power quality increased with the introduction of newly designed sophisticated devices like computers and microcontrollers. The performances of these devices are extremely … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 30 Apr 2016 · 8,493 accessesView PDFCite
Research ArticleOpen accessIn the abstractA FAST AND ACCURATE METHOD FOR AUTOMATIC CORONARY ARTERIAL TREE EXTRACTION IN ANGIOGRAMSRohollah Moosavi Tayebi, Puteri Suhaiza Binti Sulaiman, Rahmita Wirza et al.Coronary arterial tree extraction in angiograms is an essential component of each cardiac image processing system. Once physicians decide to check up coronary arteries from x-ray angiograms, extraction must be done precisely, fast, automatically and including whole arterial tree to help diagnosis or treatment during the cardiac surgical operation. This application is very helpful for the surgeon on deciding the … …Journal of Computer Science, Vol. 10, Issue 10 · 27 Jun 2014 · 8,296 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance 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 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 abstractUsing 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 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