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24 results for “digital signals”
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Research ArticleOpen accessEvery word in the titleAn Efficient Course Resolution Multiple-Receiver Approach for Reception of Slow Fading Signals in Digital Wireless Communication SystemsAshraf Mamdouh Aziz, Senior Member, IEEE et al.Multiple-receiver digital wireless communication systems employ several receivers and a digital central receiver with data fusion to reduce the effect of multipath fading problems. The multiple receiver observations are processed at individual receivers and sent to a digital central receiver. The digital central receiver fuses all the individual receiver data to form global data on which symbol was transmitted. In … …American Journal of Applied Sciences, Vol. 12, Issue 8 · 7 Sep 2015 · 6,509 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Dual-Slope Integration Based Analog-to-Digital ConvertorHasan KradProblem statement: With the advent of the advanced technology and the need for more advanced equipment, the current progress and development of electronic instruments stimulate more interest and efforts for more innovative ideas and better designs. Many real world physical values, such as sounds, temperature, pressure and humidity, can be measured as analog or continuous signals. However, to process these … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,796 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Digital Signal Modulation Recognition using Machine LearningMudhafar Haji Mala Abd, Sadegh AminifarInrecent years, modulation type recognition has received a lot of attentionacross the board. There are several methods to detect modulation types, butthere are only a few effective methods to handle signals with a higher level ofnoise. This study introduces an approach to verify the ability of differentmachine learning algorithms to automatically manage noise in detecting digitalmodulations. This research examines two … …Journal of Computer Science, Vol. 18, Issue 10 · 26 Sep 2022 · 6,095 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,259 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 abstractSynthesis of Optimal Incoherent Subcarrier Tracking of BOC(1,1) Navigation SignalsAlexandr Ivanovich PerovNavigation receivers of global positioning systems that are operated in complex electromagnetic environment must have an increased noise immunity characteristic. One way of such noise immunity rising is to use incoherent operating mode of navigation receiver. There are known processing algorithms for navigation signals with Binary Phase Shift Keying (BPSK) modulation. But in the near-term outlook Global Navigation Satellite Systems … …American Journal of Applied Sciences, Vol. 13, Issue 9 · 26 Sep 2016 · 7,166 accessesView PDFCite
Technical ReportOpen accessIn the abstractAnalysis of Low Probability of Intercept Radar Signals Using the Reassignment MethodDaniel L. Stevens, Stephanie A. SchuckersDigital intercept receivers are currently moving towards classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. Although these techniques are an improvement over existing Fourier-based techniques, they still suffer from a lack of readability, due to poor time-frequency localization and cross-term interference, which may lead to inaccurate detection and parameter extraction. In this study, the reassignment method, … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 25 Mar 2015 · 7,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecond-Order Statistical Approach for Digital Modulation Scheme Classification in Cognitive Radio Using Support Vector Machine and K-Nearest Neighbor ClassifierS. Ravi, R. KannanCognitive radio systems require detection of different signals for communication. In this study, an approach for multiclass signal classification based on second-order statistical feature is proposed. The proposed system is designed to recognize three different digital modulation schemes such as PAM, 32QAM and 64QAM. The signal classification is achieved by extracting the 2nd order cumulants of the real and imaginary … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 6,732 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Fuzzy Logic Maximum Power Point Tracking Controller for Photovoltaic SystemRasoul Rahmani, Mohammadmehdi Seyedmahmoudian, Saad Mekhilef, Rubiyah YusofIn this study, simulation and hardware implementation of Fuzzy Logic (FL) Maximum Power Point Tracking (MPPT) used in photovoltaic system with a direct control method are presented. In this control system, no proportional or integral control loop exists and an adaptive FL controller generates the control signals. The designed and integrated system is a contribution of different aspects which includes … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 5 Mar 2013 · 7,870 accessesView PDFCite