Blind separation of sources: Methods, assumptions and applications

A Mansour, AK Barros, N Ohnishi - IEICE Transactions on …, 2000 - search.ieice.org
The blind separation of sources is a recent and important problem in signal processing.
Since 1984, it has been studied by many authors whilst many algorithms have been …

Two-stage approach for detection and reduction of motion artifacts in photoplethysmographic data

R Krishnan, B Natarajan… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Corruption of photopleythysmograms (PPGs) by motion artifacts has been a serious obstacle
to the reliable use of pulse oximeters for real-time, continuous state-of-health monitoring. In …

Ship detection based on complex signal kurtosis in single-channel SAR imagery

X Leng, K Ji, S Zhou, X Xing - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recent studies have shown that complex information in single-channel synthetic aperture
radar (SAR) imagery has practically always been underrated. This improves the perception …

Source location and anomaly detection for damage identification of buried pipelines using kurtosis-based transfer function

SH Lee, CS Park, DJ Yoon - Structural Health Monitoring, 2024 - journals.sagepub.com
The failure of buried pipelines can lead to serious consequences such as explosions,
environmental pollution, settlement, as well as economic loss. To prevent these outcomes, it …

Analysis and detection of motion artifact in photoplethysmographic data using higher order statistics

R Krishnan, B Natarajan… - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
In this work, we present novel methods for detecting the presence of motion artifact in
photoplethysmographic (PPG) measurements based on higher order statistical information …

Omnibus test for normality based on the Edgeworth expansion

A Wyłomańska, DR Iskander, K Burnecki - Plos one, 2020 - journals.plos.org
Statistical inference in the form of hypothesis tests and confidence intervals often assumes
that the underlying distribution is normal. Similarly, many signal processing techniques rely …

Complex signal kurtosis—Indicator of ship target signature in SAR images

X Leng, K Ji, B Xiong, G Kuang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) signatures of ship targets are often degraded by various
types of distortions due to the distinctive imaging mechanism. The negative impacts could …

Development of wavelet transforms to predict methane in chili using the electronic nose

SI Sabilla, R Sarno - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Chili (Capsicum annum L.) became one of the most popular fruits. In Indonesia, there are
various types of chili, but the most commonly purchased by the community are cayenne …

MMSE-Driven Signal Constellation Scatterplot Using Neural Networks-Based Nonlinear Equalizers

A Sotomayor, V Choqueuse… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
This study investigates a phenomenon observed in signal constellation diagrams when
using neural networks (NNs) based nonlinear equalizers optimized with the Minimum Mean …

Determining the optimal order of fractional Gabor transform based on kurtosis maximization and its application

L Tian, Z Peng - Journal of Applied Geophysics, 2014 - Elsevier
The optimal order of fractional Gabor transform (FrGT) has a direct effect on the results of
fractional time–frequency analysis. This paper uses kurtosis maximization (KM) method to …