Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

45 results for “signal classification”
Set a search alert
Research ArticleOpen accessIn the abstractDiscrete Wavelet Transform Based Classification of Human Emotions Using Electroencephalogram SignalsMohamed RizonProblem statement: The aim of this study was to report the human emotion assessment using Electroencephalogram (EEG). Approach: An audio-visual induction based protocol was designed for inducing five different emotions (happy, surprise, fear, disgust and neutral) on 20 subjects in the age group of 19~39 years. EEG signals are recorded from 64 channels placed over entire scalp according to International … …American Journal of Applied Sciences, Vol. 7, Issue 7 · 31 Jul 2010 · 7,554 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach to Signal Detection of Sensor Array Units Using 5-3-1 Rule Based Matched Filter Algorithm with Intelligent IdentifiersMahmoud Z. IskandaraniA novel approach to signal detection and identification was developed and tested. The new algorithm was based on provision of tagging a Matched Filter (MF) with identifiers to recognize the source signal with and without noise, so that classification can be carried out. The algorithm was applied successfully to chemical Sensor Array Units (SAU). Problem statement: Signals obtained from chemical … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,846 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified Center Interpolation Net for Classification of Composite Structures Tested Using Low Frequency Electronic TappingMahmoud Z. IskandaraniProblem statement: Most exhaustive NDT techniques require large capital equipment, are difficult to apply to complex geometric structures and, above all, are time-consuming to use and some take a considerable time to complete. As a solution to the problems associated with NDT applications, there is a need to establish an intelligent analysis system that supports a portable testing environment, which … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 7,110 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Approach in Radar Target ClassificationN.K. Ibrahim, R.S.A. Raja Abdullah, M.I. SaripanProblem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represented by typical public road transport. The features from raw radar signal … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 9,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIERS. T. Sadish Kumar, N. KasthuriNowadays Epileptic disorder is a most challenge aspects in brain activation. Electroencephalograph (EEG) is one of the popular procedures to understand the human brain condition. The activation of brain will be changed due to the symptoms of neurological disorder. We have been proposed a procedure to find epilepsy disorder, using discrete wavelet transform and neural network classifier. The EEG classification … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,663 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntroduction, Classification and Applications of Smart Materials: An OverviewSusmita KamilaSmart materials are common name for a wide group of different substances. The general feature of all of them is the fact that one or more properties might be significantly altered under controlled condition. The present age is considered to be the smart materials era. Earlier, smart material was defined as the material, which responds to its environments in a … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 13,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Sensing Demosaicing Using Adaptive Weighted InterpolationDev R. Newlin, Elwin Chandra MonieDemosaicing is a process of obtaining a full color image by interpolating the missing colors of an image captured from a digital still and video cameras that use a single-sensor array. The edges are not handled properly in the existing demosaicking methods. This study provides an effective demosaicing algorithm applying an adaptive weighted-edge interpolation to handle green pixels. Due to … …American Journal of Applied Sciences, Vol. 10, Issue 4 · 29 Apr 2013 · 6,965 accessesView PDFCite
Research ArticleOpen accessIn the abstractProsody Modification of Standard Arabic Speech Using Combining Synchronous Overlap and Add With Fixed-Synthesis Algorithm and Multi Level Discrete Wavelet TransformYkhlef Faycal, Bensebti Mesaoud, Bendaouia LotfiProblem statement: The objective of prosody modification is to change the amplitude, duration and pitch (F0) of speech segments without altering their spectral envelop. Applications are numerous, including, Text-To-Speech synthesis, transformation of voice characteristics and foreign language learning. Several approaches have been developed in the literature to achieve this goal. The main restrictions of these latter are in the modification … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 6,840 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordRain Events Detection using Energy Variation of Commercial Microwave Links AttenuationWend Yam Serge Boris Ouedraogo, Moumouni Djibo, Ali Doumounia et al.In this study, we propose a new method for detecting wet periods by using telecommunications Commercial Microwave Links (CML). The purpose of the study is to automatically find rain time slots. The attenuation of the microwave signal, propagating between a transmitting antenna and a receiving one, due to the variations of the climatic conditions over the link, is a non-stationary … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 20 Aug 2022 · 6,291 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEpileptic Seizure Detection from EEG Signal Using Progressive Channel Selection and Deep LearningSuraiya Akter Mumu, Shupta Das, M. A. H. Akhand et al.Epileptic Seizures (ES), marked by abrupt abnormal electrical discharges in the brain, represent the primary symptom of epilepsy, making timely and accurate detection critical because of their unpredictable recurrence and potentially severe consequences. The Electroencephalogram (EEG), a widely used, non-invasive, and economical method for monitoring brain activity, plays a key role in automated ES detection through Machine Learning (ML) and … …Journal of Computer Science, Vol. 22, Issue 6 · 8 Jul 2026 · 1,409 accessesView PDFCite