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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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Optimal design of NLMS algorithm with a variable scaler against impulsive interference
This study proposes a scaler for the normalized least-mean-square algorithm, which is derived based on a cost function designed to retain robustness...
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Modeling of Noise due to a Plasma-Based Contactless Power Transmission System for Ultra-High-Speed Transportation
This paper studies plasma effects in the FluxJet, an ultra-high-speed vehicle being designed for transportation at aircraft-like speeds, running in a...
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Reweighted Zero-Attracting Modified Variable Step-Size Continuous Mixed \({\varvec{p}}\) -Norm Algorithm for Identification of Sparse System Against Impulsive Noise
The efficiency of traditional adaptive filtering algorithms decreases for sparse system identification when compared to the identification of...
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Reasoning Methods and Noise Removal
Noisy signals and their treatment have been studied for a long time. There have been many attempts for treatments but they have in common that they...
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Realistic Simulation of Event-Related Potentials and Their Usual Noise and Interferences for Pattern Recognition
Simulated signals are commonly used to evaluate pattern recognition algorithms for event-related potential estimation because it is difficult to...
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Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise
In supervised machine learning, the choice of loss function implicitly assumes a particular noise distribution over the data. For example, the...
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Impulse noise removal in color image sequences using fuzzy logic
This paper presents a two-step fuzzy filter to remove impulse noise from a color image sequence in RGB color space. The primary filter recognizes the...
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Affine projection algorithm-based exponential hyperbolic cosine for partial discharge denoising in substation
The detection of partial discharge (PD) in the field is critically important for the maintenance of electrical power systems. Traditional methods...
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Spline adaptive filtering algorithm based on Heaviside step function
To reduce the interference of impulsive noise when the spline adaptive filter (SAF) algorithm is used to identify nonlinear systems, this paper...
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Self-tuning fast adaptive algorithm for impulsive noise suppression in color images
In this paper, a self-tuning version of the newly introduced Fast Adaptive Switching Trimmed Arithmetic Mean Filter, which is a very efficient...
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Active Noise Cancellation for IoT-Driven Electronic Stethoscope: A Comparative Study of Adaptive Filters
A key application for IoT based technologies in the field of healthcare is wireless medical sensors that can be used to monitor patients’...
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Densely connected network for impulse noise removal
Recently, a new convolutional neural network (CNN) architecture, dubbed as densely connected convolutional network (DenseNet), has shown excellent...
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Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches
Medical imaging plays an essential role in modern healthcare, hel** accurate diagnoses and effective treatment strategies. Still, the quality and...
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Dual Non-Local Means: a two-stage information-theoretic filter for image denoising
Image denoise has been explored with the development of various filters used to remove or reduce random disruptions on observed data, but at the same...
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Analysis of convexly combined recursive inverse algorithms
The RI method, which has only lately been developed, has showed outstanding performance in a wide range of application fields. Convexly linked RI...
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A Complete Review on Image Denoising Techniques for Medical Images
Medical imaging methods, such as CT scans, MRI scans, X-rays, and ultrasound imaging, are widely used for diagnosis in the healthcare domain....
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Modulation Recognition with Alpha-Stable Noise Over Fading Channels
This paper proposes a method based on kernel density estimation (KDE) and expectation condition maximization (ECM) to realize digital modulation...
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A new fuzzy rule based pixel organization scheme for optimal edge detection and impulse noise removal
Fuzzy sets provide a framework for incorporating human knowledge as an efficient unsupervised machine learning tool for problem solving. The approach...
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Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques
In the era of automated and digitalized information, advanced computer applications deal with a major part of the data that comprises audio-related...
