JOT: A Variational Signal Decomposition Into Jump, Oscillation and Trend [PDF]
IEEE Transactions on Signal Processing, 2022 We propose a two stages signal decomposition method which efficiently separates a given signal into Jump, Oscillation and Trend. While there have been numerous advances in signal processing in past few decades, they mainly aim to analyze the signal in ...
A. Cicone +3 more
semanticscholar +2 more sources
The Optimal Selection of Mother Wavelet Function and Decomposition Level for Denoising of DCG Signal
Sensors, 2021 The aim of this paper is to find the optimal mother wavelet function and wavelet decomposition level when denoising the Doppler cardiogram (DCG), the heart signal obtained by the Doppler radar sensor system.
Young In Jang +3 more
doaj +3 more sources
Iterative Mirror Decomposition for Signal Representation [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 In this paper it is shown how to describe any finite-energy continuous or discrete signal through an ordered set of positions to uniquely represent it. This is obtained by designing an iterative decomposition through a series of mirror operations around those positions.
Guerrini F., Gnutti A., Leonardi R.
openaire +3 more sources
Signal Separation Operator Based on Wavelet Transform for Non-Stationary Signal Decomposition [PDF]
SensorsThis paper develops a new frame for non-stationary signal separation, which is a combination of wavelet transform, clustering strategy and local maximum approximation.
Ningning Han, Yongzhen Pei, Zhanjie Song
doaj +2 more sources
Comparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition. [PDF]
J Biomed Phys Eng, 2017 Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs).
Ghofrani Jahromi M +3 more
europepmc +2 more sources
Data-Driven Fusion Algorithms for Temperature-Drift Compensation of MEMS Gyroscopes: A Mini Review [PDF]
MicromachinesMicroelectromechanical systems (MEMS) gyroscopes are now standard rate sensors in inertial navigation, automotive electronics, industrial automation, and medical instrumentation because they are inexpensive, compact, and readily integrated.
Haoze Lan, Yingjie Xu
doaj +2 more sources
Signal Decomposition Using Masked Proximal Operators [PDF]
Foundations and Trends® in Signal Processing, 2022 We consider the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse.
Bennet E. Meyers, Stephen P. Boyd
semanticscholar +1 more source
Multivariate Nonlinear Sparse Mode Decomposition and Its Application in Gear Fault Diagnosis
IEEE Access, 2021 Multi-channel signal has more abundant and accurate state characteristic information than single channel signal. How to separate fault characteristic information from the multi-channel signal is the key of fault diagnosis.
Haiyang Pan +3 more
doaj +1 more source
Remote Sensing, 2022 Atmospheric lidar is susceptible to the influence of light attenuation, sky background light, and detector dark currents during the detection process. This results in a large amount of noise in the lidar return signal.
Zhiyuan Li +5 more
doaj +1 more source
Adaptive Complex Variational Mode Decomposition for Micro-Motion Signal Processing Applications
Sensors, 2021 In order to suppress the strong clutter component and separate the effective fretting component from narrow-band radar echo, a method based on complex variational mode decomposition (CVMD) is proposed in this paper.
Saiqiang Xia +5 more
doaj +1 more source