Teager–Kaiser energy methods for signal and image analysis: A review

AO Boudraa, F Salzenstein - Digital Signal Processing, 2018 - Elsevier
This paper provides a review of the Teager–Kaiser (TK) energy operator and its extensions
for signals and images processing. This class of operators possesses simplicity and good …

EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction

F Zhou, H Zhou, Z Yang, L Yang - Expert Systems with Applications, 2019 - Elsevier
Stock market forecasting is a vital component of financial systems. However, the stock prices
are highly noisy and non-stationary due to the fact that stock markets are affected by a …

A nonparametric approach for multicomponent AM–FM signal analysis

A Upadhyay, M Sharma, RB Pachori… - Circuits, Systems, and …, 2020 - Springer
In this paper, a novel method is presented to analyze the amplitude modulated and
frequency modulated (AM–FM) multicomponent signals using a combination of the …

Teager–kaiser energy operators for overlapped speech detection

N Shokouhi, JHL Hansen - IEEE/ACM Transactions on Audio …, 2017 - ieeexplore.ieee.org
Overlapped speech is referred to a monophonic audio signal in which at least two speakers
are present at the same time. In this study, the focus is on distinguishing overlapped from …

Accurate AM-FM signal demodulation and separation using nonparametric regularization method

X Hu, S Peng, B Guo, P Xu - Signal Processing, 2021 - Elsevier
In this paper we propose a novel adaptive nonparametric regularization (NPR) method for
solving optimization problems with linear constraint. The regular parameter in NPR …

An improved Viterbi algorithm for IF extraction of multicomponent signals

P Li, QH Zhang - Signal, Image and Video Processing, 2018 - Springer
Viterbi algorithm (VA) applied to time–frequency (TF) representation is a highly performed
instantaneous frequency (IF) estimator for discrete-time signals, but it suffers from switch …

Heart-rate analysis of healthy and insomnia groups with detrended fractal dimension feature in edge

X Wang, Y Zhou, C Zhao - Tsinghua Science and Technology, 2021 - ieeexplore.ieee.org
Insomnia, whether situational or chronic, affects over a third of the general population in
today's society. However, given the lack of non-contact and non-inductive quantitative …

Complex-valued differential operator-based method for multi-component signal separation

B Guo, S Peng, X Hu, P Xu - Signal processing, 2017 - Elsevier
The null space pursuit (NSP) algorithm is an operator-based signal separation approach
which separates a signal into a set of additive subcomponents using adaptively estimated …

Adaptive integral operators for signal separation

X Hu, S Peng, WL Hwang - IEEE Signal Processing Letters, 2014 - ieeexplore.ieee.org
The operator-based signal separation approach uses an adaptive operator to separate a
signal into a set of additive subcomponents. In this paper, we show that differential operators …

Multicomponent AM–FM demodulation based on energy separation and adaptive filtering

Y Qin - Mechanical Systems and Signal Processing, 2013 - Elsevier
Multicomponent AM–FM demodulation is an important tool in many engineering
applications. To improve the demodulation accuracy of the commonly used methods, such …