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32 results for “phase noise”
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Research ArticleOpen accessPhrase in the titlePerformance Analysis of Orthogonal Frequency Division Multiplexing Based Bidirectional Relay Network in the Presence of Phase NoiseV. N. Senthil Kumaran, S. Rajkumar, S. J. ThiruvengadamIn this study, the performance of OFDM based bidirectional relay network which employs Physical Layer Network Coding (PLNC) is analyzed in the presence of phase noise. The bidirectional relay network is assumed to consist of two sources and a relay, where each node has a single antenna and operates in half duplex mode. The PLNC based OFDM system transmits high … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 9 Sep 2013 · 6,639 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDesign of Low Phase Noise SIPC based Complementary LC-QVCO for IEEE 802.11a ApplicationHarikrishnan Ramiah, Tun Zainal Azni ZulkifliThe paper presents the design of a source injection parallel coupled (SIPC) quadrature voltage controlled oscillator (QVCO), realized in a complementary architecture, which is usually preferred in low-power applications as it exploits ≈50% bias current reduction with double efficiency compared to the structure with single coupled, when operating in the current-limited regime. A stacked spiral inductor exhibiting a Q factor … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,295 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInverse Sine Phase Detector Phase Locked Loop Associated with Modified Multi Band LC Quadrature Voltage Controlled Oscillator for Wireless Communication Systems at 0.9, 1.8, 2.4, 3.5 GHzMahmoud AbdellaouiProblem statement: In this study and in consequence of the restricted performance of the multi standard wireless receiver utilizing the classical architectures, we proposed and presented a new architecture of multi band wireless receiver based on an Inverse Sine Phase Detector Phase Locked Loop (ISPDPLL) associated with modified multi band LC quadrature Voltage Controlled Oscillator (VCO), supporting GSM/DCS/DECT/Bluetooth/WiMax systems. Approach: … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 8,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 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 abstractThe Extract Region of Interest in High-Resolution Palmprint using 2D Image Histogram Entropy FunctionInass Shahadha Hussein, Shamsul Bin Sahibuddin, Md Jan Nordin, Nilam Nur AmirThe segmentation of high-resolution palmprint is has been challenged and the research in this filed is still limited because of variations in location and distortion of these images. To achieve superior recognition result, accurate segmentation of a region of interest is very crucial. Therefore, in this paper, a novel palmprint extraction method has been presented using a 2D image histogram … …Journal of Computer Science, Vol. 15, Issue 5 · 8 May 2019 · 7,652 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnrolment and Matching of Fingerprints using Minutiae TreePraseetha V.M., S. VadivelAutomated fingerprint matching is considered as the most challenging phase of fingerprint recognition since it can be affected by a variety of factors such as noise, skin condition, rotation, distortions and displacements. When there is a large database, the search time to get a matching fingerprint will be relatively high. To reduce the searching time in the database, we have … …Journal of Computer Science, Vol. 15, Issue 3 · 15 Mar 2019 · 7,566 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