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29 articles for “Fast Fourier Transform”
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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 keywordsVoltage Swells Improvement in Low Voltage Network Using Dynamic Voltage RestorerR. Omar, N.A. Rahim, A. AhmadProblem statement: Voltage disturbances are the most common power quality problem due to the increased use of a large numbers of sophisticated electronic equipment in industrial distribution system. The voltage disturbances such as voltage sags, swells, harmonics, unbalance and flickers. High quality in the power supply is needed, since failures due to such disturbances usually have a high impact on … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 7,376 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Implementation of Myoelectric Controlled ArmTariq M. Younes, Mohammad A. AlKhedher, Abdel-Hamid Soliman, Aiman Al AlawinIn this study a discrimination system, using a neural network for Electromyogram (EMG) externally controlled Arm is proposed. In this system, the Artificial Neural Network (ANN) is used to learn the relation between the power spectrum of EMG signal analysed by Fast Fourier Transform (FFT) and the performance desired by handicapped people. The Neural Network can discriminate 4 performances of … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 16 Sep 2019 · 6,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtracting Unique Personal Identification Number from IrisNenad Nestorovic, P.W.C. Prasad, Abeer Alsadoon, Amr ElchouemiThe aim of this research is to propose an enhanced model that significantly reduces the noise in the iris templates and thus present an efficient and reliable iris recognition system. Accuracy of Iris recognition system significantly depends on reducing noise at every stage of recognition process especially at eye image acquisition and iris segmentation stages. The proposed Iris recognition model … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 7 Jul 2017 · 8,132 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 abstractThe Human Facial Expression Classification Using the Center Kernel Subspace based the Ridge RegressionArif MuntasaThe facial expression classification has been implemented on many devices. However, many researchers have conducted the research to improve the classification rate. This research has developed the algorithm to enhance the classification rate on the facial expression field. The proposed method is divided into five primary processes, which are, the first, create the center kernel subspace-based the ridge regression. Secondly, … …Journal of Computer Science, Vol. 11, Issue 11 · 13 Jan 2016 · 6,798 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 abstractPeak to Average Power Ratio Reduction of Orthogonal Frequency Division Multiplexing System with a Significant Low ComplexityMahamod Ismail, J. S. Mandeep, Montadar Abas Taher, M. T. IslamThe Orthogonal Frequency Division Multiplexing (OFDM) has been widely used in many applications in the last decade. It provides good benefits compared to the single carrier systems. However, it has a bad property represented by the high-output Peak to Average Power Ratio (PAPR) which is considered as its major problem. There are many techniques to reduce the PAPR values such … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 20 Dec 2012 · 6,589 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow Power Multiplier Design Using Latches and Flip-FlopsC. N. Marimuthu, P. ThangarajProblem statement: Power dissipation is designated as critical parameter in modern VLSI design field. In VLSI implementation low power concept is necessary to meet Moore’s law and to produce consumer electronics with more back up and less weight. To save significant power consumption of a VLSI design, it is a good direction to reduce its dynamic power which is the … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 7,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractOff-Line Signature Authentication Based on Moment Invariants Using Support Vector Machinek. R. Radhika, M. K. Venkatesha, G. N. SekharProblem statement: The research addressed the computational load reduction in off-line signature verification based on minimal features using bayes classifier, fast Fourier transform, linear discriminant analysis, principal component analysis and support vector machine approaches. Approach: The variation of signature in genuine cases is studied extensively, to predict the set of quad tree components in a genuine sample for one person … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,242 accessesView PDFCite