Particle-swarm-optimization-enhanced radial-basis-function-kernel-based adaptive filtering applied to maritime data
The real-life signals captured by different measurement systems (such as modern maritime
transport characterized by challenging and varying operating conditions) are often subject to …
transport characterized by challenging and varying operating conditions) are often subject to …
A kernel recursive maximum versoria-like criterion algorithm for nonlinear channel equalization
In this paper, a kernel recursive maximum Versoria-like criterion (KRMVLC) algorithm has
been constructed, derived, and analyzed within the framework of nonlinear adaptive filtering …
been constructed, derived, and analyzed within the framework of nonlinear adaptive filtering …
Gravitational-wave burst signals denoising based on the adaptive modification of the intersection of confidence intervals rule
Gravitational-wave data (discovered first in 2015 by the Advanced LIGO interferometers and
awarded by the Nobel Prize in 2017) are characterized by non-Gaussian and non-stationary …
awarded by the Nobel Prize in 2017) are characterized by non-Gaussian and non-stationary …
Hyperspectral image restoration under complex multi-band noises
Hyperspectral images (HSIs) are always corrupted by complicated forms of noise during the
acquisition process, such as Gaussian noise, impulse noise, stripes, deadlines and so on …
acquisition process, such as Gaussian noise, impulse noise, stripes, deadlines and so on …
On optimal parameters for ICI-based adaptive filtering applied to the GWs in high noise
The detection of the gravitational-wave (GW) events from the noisy measured data requires
reliable filtering techniques. This paper provides the performance analysis of the intersection …
reliable filtering techniques. This paper provides the performance analysis of the intersection …
A new insight into entropy based on the fuzzy operators, applied to useful information extraction from noisy time-frequency distributions
In this paper, we study the connections between generalized mean operators and entropies,
where the mean value operators are related to the strictly monotone logical operators of …
where the mean value operators are related to the strictly monotone logical operators of …
Adaptive filter support selection for signal denoising based on the improved ICI rule
Performance and simulation-based optimization of the improved intersection of confidence
intervals (ICI) rule for adaptive filter support selection are presented. The improved ICI rule …
intervals (ICI) rule for adaptive filter support selection are presented. The improved ICI rule …
[HTML][HTML] Adaptive window bandwidth selection for direction of arrival estimation of uniform velocity moving targets based relative intersection confidence interval …
The local polynomial approximation (LPA) beamformer is known to have outstanding
statistical performance. It can be used for Direction of arrival (DOA) estimation and localizes …
statistical performance. It can be used for Direction of arrival (DOA) estimation and localizes …
Entropy-based extraction of useful content from spectrograms of noisy speech signals
In the paper, we extend and apply the 2D local entropy method (2DLEM) used for signal
time-frequency repre-sentation to useful content extraction from noisy speech signals. In our …
time-frequency repre-sentation to useful content extraction from noisy speech signals. In our …
Local Shannon, Rényi, and Tsallis Entropy for Useful Content Extraction from Choi-Williams and Zhao-Atlas-Marks Time-Frequency Distributions
In this paper, we extend the research study on the 2D local entropy method (2DLEM) by
applying new entropy measures and time-frequency distributions. In our earlier work, 2D …
applying new entropy measures and time-frequency distributions. In our earlier work, 2D …