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Optimized intelligent framework for peak-to-average power ratio reduction in filter bank multicarrier
Nowadays, the wireless multiple-input multiple-output (MIMO) system performance was advanced with filter bank multicarrier (FBMC) approach. However,...
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Probability density prediction of peak load based on mixed frequency noise-assisted multivariate empirical mode decomposition
Accurate peak load forecasting is crucial to ensuring the reliable operation of the power system. However, existing prediction models often neglect...
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Abstract: Denoising of Home OCT Images using Noise-to-noise Trained on Artificial Eye Data
Optical coherence tomography (OCT) established as an essential part of the diagnosis, monitoring and treatment programs of patients suffering from...
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Clip** discrete multi-tone for peak-power-constraint IM/DD optical systems
High peak-to-average power ratio (PAPR) is a major drawback of discrete multi-tone (DMT) in peak-power-constraint (PPC)...
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Total variation method based on modified Barzilai–Borwein algorithm to noise reduction in MRI images
Magnetic resonance imaging (MRI), notwithstanding the vital information they provide, introduces issues in diagnostic work due to inherent noise. The...
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Low-resolution Kramers-Kronig detection system with error-feedback noise sha**
In this paper, we investigated the effects of error-feedback noise sha** (EFNS) on a low-resolution Kramers-Kronig (KK) detection system for the...
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A novel statistical golden ratio based adaptive high density impulse noise removal algorithm
Enhancing the quality of images by removing impulse noise is an important preprocessing step while working with images. In this article, a novel and...
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Iterative shrinkage thresholding-based anti-multi-noise compression perceptual image reconstruction network
Telemedicine imaging services usually require wireless transmission of a large number of medical images MRI/CT, etc., in the network, which are...
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Soft threshold iteration-based anti-noise compressed sensing image reconstruction network
Optical images of artificial satellites can provide wide-range geographic information, but their large amount of information and severe noise...
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A Judicious way to restore random impulse noise using iterative weighted total variation diffusion technique
Various types of pixel candidates are available in the literature to replace impulse noise after effective detection. However, using them in the...
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Speckle Noise Removal: A Local Structure Preserving Approach
This paper proposes a speckle noise removal approach for clinical ultrasound images by doing outlier removal and smoothening operations alternately....
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An effective method for salt and pepper noise removal based on algebra and fuzzy logic function
Image denoising techniques are very important in modern digital image processing. Many classical denoising algorithms have evolved over the years,...
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High dimensional model representation median filter for removing salt and pepper noise
In this paper, we introduce a novel method for noise reduction called the High-Dimensional Model Representation (HDMR) Median Filter. HDMR,...
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Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets
Magnetic resonance imaging (MRI) is widely acknowledged as one of the most diagnostically valuable and versatile medical imaging techniques available...
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Enhancing image quality: A nearest neighbor median filter approach for impulse noise reduction
Impulse noise is a challenging problem that degrades the quality of an image. In last few decades, Median filtering denoising method has been widely...
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Nonlinear Time-Varying Weak Signal Enhancement Method Based on Particle Filter
Traditional weak signal enhancement methods have low signal-to-noise ratio, which affects the accuracy of weak signal recognition. Therefore, this...
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Robust conjugate ambiguity functions and application for strictly noncircular signals in correlated impulsive noise
The assumption of independent and identically distributed noise is often used in basic research, but the correlation between two additive noises...
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Deep Learning Based GABA Edited-MRS Signal Reconstruction
Magnetic Resonance Spectroscopy (MRS) is a non-invasive imaging technique based on nuclear magnetic resonance (NMR) principles. It analyzes the...
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Poisson noise image restoration method based on variational regularization
In image processing problems, when the photon-counting imaging technology is used to obtain the target image, it is usually interfered with by...
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Towards noise robust acoustic insect detection: from the lab to the greenhouse
Successful and efficient pest management is key to sustainable horticultural food production. While greenhouses already allow digital monitoring and...
