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36 results for “Gaussian noise”
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Research ArticleOpen accessIn the abstractAn Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive RadioArchana Krishnamuthy, Sudhindra Kumbhashi RajgopalCognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two core hypotheses: Hypo-0 and Hypo-1. Hypo-0 represents the scenario where only noise is present, and its modeling depends on parameters such as the number of observed samples, the timing of signal acquisition, … …Journal of Computer Science, Vol. 21, Issue 8 · 4 Sep 2025 · 5,811 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Face Expression Recognition Using Parametric Exponential Linear Unit-Long Short-Term MemoryKampa Ratna Babu, Akula Suneetha, Kampa Kanthi KumarMultimodal facial expression recognition combines information from multiple modalities of audio and video to achieve the required accuracy and robustness. By integrating different data sources, multimodal systems capture different aspects of human expression. However, accurately recognizing facial expressions across audio and video modalities causes challenges due to variations in expression representation. In this research, Parametric Exponential Linear Unit-Long Short-Term Memory … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 4,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Robust Medical Image Fusion Based on Synthetic Focusing Degree Criterion and Special Kernel Set for Clinical DiagnosisDawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra et al.Medical imaging has been widely used to diagnose diseases over the last two decades. Medical professionals still struggle to diagnose diseases using a single modality since there is a shortage of data in this domain. Therefore, images of specific organs with diseases from a variety of medical imaging systems can be combined using a technique called image fusion. Medical image … …Journal of Computer Science, Vol. 20, Issue 4 · 6 Feb 2024 · 5,631 accessesView PDFCite
Review ArticleOpen accessIn the abstractBM3D Outperforms Major Benchmarks in Denoising: An Argument in FavorBhawna Goyal, Ayush Dogra, Apoorav Maulik SharmaThe inherent physical limitations of imaging sensors lead to prevalence of additive white Gaussian noise in images which deters the feature extraction and analysis. There exists a number of denoising algorithms in literature, demonstrating their efficacy for removing noise while preserving feature details. At the crossing of functional and statistical analysis, one argues with new methods being devised quite frequently, … …Journal of Computer Science, Vol. 16, Issue 6 · 1 Jul 2020 · 7,587 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm OptimizationTayseer M.F. Taha, Summrina Kanwal Wajid, Amir HussainSpeech enhancement is used in almost all modern communication systems. This is due to the quality of speech being degraded by environmental interference factors, such as: Acoustic additive noise, acoustic reverberation or white Gaussian noise. This paper, explores the potential of different benchmark optimization techniques for enhancing the speech signal. This is accomplished by fine tuning filter coefficients using a … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 7,734 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Images Registration based on Normalized Dissimilarity IndexAmina KHARBACH, Mouad EL OMARI, Amar MARDANI et al.Image registration is an essential step in a large number of processing chains for medical images. It is used to align two images taken at different times and from different sensors as well. In this paper, we are interested in the rigid registration and similarity measures. We describe a new registration approach, based on the normalized dissimilarity index that results … …Journal of Computer Science, Vol. 13, Issue 9 · 28 Sep 2017 · 7,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying EnvironmentSujata G. Bhele, V.H. MankarFace recognition involves matching face images with different environmental conditions. Matching face images with different environmental conditions is not a easy task. Also matching face images considering variations such as changing illumination, pose, facial expression and that with uncontrolled conditions becomes more difficult. This paper focuses on accurately recognizing face images considering all the above variations. The proposed system is … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 31 Aug 2017 · 8,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccessing the Appropriateness of a Spatial Regression Using Generalized (h1h2-)Slepian Random FieldWayan Somayasa, Jamhir Safani, La Ode Ngkoimani, Muhamad Zamrun F.In this study we derived asymptotic goodness-of-fit test (model check) for spatial regression where the critical region as well as the p-value of the tests are approximated based on the distribution of a type of the integral functional of the generalized (h1h2-)-Slepian field and the set-indexed Gaussian white noise. Such random fields are obtained as the limit process of the … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 2 May 2017 · 7,364 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn 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 · 6,514 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN INFORMATION-THEORETIC IMAGE QUALITY MEASURE: COMPARISON WITH STATISTICAL SIMILARITYAsmhan Flieh Hassan, Dong Cai-lin, Zahir M. HussainWe present an information-theoretic approach for structural similarity for assessing gray scale image quality. The structural similarity measure SSIM, proposed in 2004, has been successflly used and verfied. SSIM is based on statistical similarity between the two images. However, SSIM can produce confusing results in some cases where it may give a non-trivial amount of similarity for two different images. … …Journal of Computer Science, Vol. 10, Issue 11 · 17 Dec 2014 · 8,782 accessesView PDFCite