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28 articles for “Methods of noise reduction”
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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A Brief Description of Vibration and Noise Control in Vehicles
Abstract: In the following paper, the advanced and present state of the art technologies in vehicle’s noise and vibrations control are described. Designers and manufacturers have to dedicate the majority of their skills in ensuring that a vehicle is stable in terms of generated noise and vibration furthermore vehicle manufacturer always pay attention to the global competition of their product, stick to government regulations and rider comfort while casting or designing …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 1–11 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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A Survey on Different Speech Enhancement Algorithms used in Hearing Aid Application
Abstract: AbstractThe requirement for efficient speech enhancement techniques in hearing prosthetics is encountered for many practical applications. Existing speech enhancement algorithms can improve speech quality but not speech intelligibility and reasons for that are unresolved. In the development process of noise reduction algorithms, an objective with speech intelligibility is of great interest. In this review paper, different algorithms for hearing prosthetics are studied. After reviewing standard methods used for speech intelligibility …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 1, 2016 · pp. 1–5 Read article
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An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR filtering Through a Data Driven Mechanism
Abstract: Electrocardiogram (ECG) is a clinical sign monitoring measurement of the cardiac abnormalities. Like other biomedical signals, the ECG signal is also contaminated by various kinds of noise and artifacts such as power line interference, base line wandering, muscle artifacts and electrode artifacts. The present paper proposes a scheme for power line interference (PLI) reduction from ECG signal. It makes use of the concept of mirror method, empirical mode decomposition (EMD) …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 13–21 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Design and Performance Analysis of Multi-Standard CMOS LNA Using Switched Capacitor and MIM Capacitor in 180nm Technology
Abstract: Low noise amplifier (LNA) is terribly important block in designing broadband receivers for wireless broadband communications. Being the primary active element in receiver chain it creates larger demand for LNAs that are smaller, consume less power, and provide sufficient gain, low noise and high compact design. The projected LNA is extremely integrated with low noise figure having wide calibration range with improved RF power handling system and acquires less space …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 37–44 Read article
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Review Paper on Static and Dynamic Power Dissipation of Novel CMOS SRAM Cell
Abstract: VLSI design is persistently demanding for ultra-low power efficient and data stability solution. This review paper studies and analyses about various techniques to reduce leakage and dynamic power dissipation. Sleepy keeper approach, super cutoff mode, NTC method, dual-threshold approach, quiet-bitline and single bitline architecture are discussed for the power reduction. Sleepy keeper, NTC and dual-threshold approach are focused for high data stability and performance. Quite bitline architecture SRAM saves overall …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 73–77 Read article
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Refining Retinal Layer Segmentation in OCT Imaging with Advanced Techniques and Clinical Applications
Abstract: Segmenting retinal layers from Optical Coherence Tomography (OCT) pictures entails locating and separating different retinal layers to offer comprehensive anatomical and pathological information. Age-related macular degeneration, diabetic retinopathy, and glaucoma are among the retinal illnesses for which this procedure is crucial for diagnosis and follow-up. By utilizing preprocessing techniques to improve image quality and applying advanced algorithms—such as intensity-based, gradient-based, and texture-based methods—alongside deep learning approaches, clinicians can accurately measure …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 01–06 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Harmonic Compensation in Grid Interconnected DG Units by Closed Loop Control
Abstract: This paper deals with improvement of power quality problem namely harmonic problem using distributed generation as their source of electricity. The harmonics occur in such a system because of the nature of loads connected. There are many power quality problems; out of which harmonics normally caused by nonlinear loads like variable frequency drives, fluorescent lightning, office computers etc. have adverse effects on the power quality. Also, harmonic detection and prediction …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 1, 2017 · pp. 9–17 Read article
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Assessing and Ranking Health, Safety and Environmental Risks Through Analytical Network Process (ANP) Method in Cement Plant in 2020
Abstract: In today's competitive world, decision-making and management are based on risk assessment.Accordingly, the present study deals with assessing and managing the risks of Health, Safetyand Environment (HSE) aspects in cement factory through combining three widely usedmethods including FMEA, William and Fine, and EFMEA to determine and estimate the levelof risk, and to control and mitigate this risk using analytical network process (ANP) method.In this research, three ANP models were used …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 3, 2020 · pp. 23–35 Read article
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Comparison of Finite Element Analysis with An Experimental Validation on Transmission Loss Measurement for Acoustic Muffler
Abstract: Noise from an automotive application is the major source of noise pollution. Here the noise from muffler plays a vital role. So noise reduction on muffler is generally predicted by Transmission Loss and Insertion Loss. Single expansion chamber is generally used as silencing elements in intake and exhaust systems. The main aim of this paper is to use of FEA as well Experimental Method for Muffler’s Transmission Loss Measurement. FEA …
Published in Journal of Automobile Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 38–43 Read article
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A Review of Torque Ripple Reduction Techniques in Switched Reluctance Motors
Abstract: Switched Reluctance Motors (SRMs) have emerged as a promising alternative to conventional motor technologies due to their rugged structure, low manufacturing cost, high-temperature capability, and suitability for harsh environments. Despite these advantages, the widespread adoption of SRMs in applications such as electric vehicles, household appliances, industrial drives, and aerospace systems is significantly restricted by the issue of torque ripple. Torque ripple manifests as periodic fluctuations in the developed electromagnetic torque, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 45–50 Read article
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Recent Trends in Fluid Mechanics with Emphasis on Aeroacoustics and Flow-Induced Noise Control
Abstract: Fluid mechanics continues to evolve rapidly due to increasing demands in aerospace, automotive, energy, and environmental engineering applications. Recent trends in this field highlight significant advancements in both theoretical understanding and practical implementations, particularly in complex flow phenomena. Among these, aeroacoustics and flow-induced noise control have emerged as critical research areas due to their direct impact on system performance, efficiency, and environmental sustainability. Aeroacoustics deals with the generation, propagation, and …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Formation and Fabrication of A 3D- Printed Polymer Propeller for Improved Propulsion and Minimal Acoustic Emission: A Comparative Study for Small Unmanned Vehicles
Abstract: The current research focuses on a comparative analysis of propeller designs to identify an option that enhances thrust efficiency while minimizing acoustic noise. The study evaluates three distinct types of propellers: the traditional three-blade propeller, the Sharrow propeller, and a novel aero propeller featuring an air foil-shaped cross-section. To facilitate a hands-on analysis, these propellers were produced using 3D printing technology, specifically employing ABS filament through a Fused Deposition Modelling …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 252–261 Read article
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Reduction of Ocular Artifacts in Single Channel EEG by EEMD-IMF Thresholding
Abstract: AbstractElectroencephalogram (EEG) is a widely used signal for analyzing the activities of the brain and usually contaminated with artifacts due to the movements of eye, heart, muscles and power line interference. Among these ocular activities creates significant artifacts and makes the analysis difficult. In this paper, ensemble empirical mode decomposition (EEMD) inspired by wavelet thresholding is used for the correction of ocular artifacts (OA) in EEG signals. Unlike the conventional …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 1, 2018 · pp. 17–25 Read article