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   Articles with "signal decomposition" as a keyword



Pre-filtered Phase-Locking Scheme for Multi-component AM–FM Signal Decomposition

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recommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0576-8

Abstract: An online multi-component AM–FM signal decomposition method is proposed based on pre-filtered phase-locking scheme. A second-order generalized integrator (SOGI) and cascaded delayed signal cancelation technique (CDSC) are employed as pre-filters for the phase-locking scheme (PLL).… read more here.

Keywords: phase locking; pre filtered; signal decomposition; multi component ... See more keywords

A Signal Decomposition Algorithm Based on Multiple Complex AMFM Model

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recommendations! Published in 2022 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-021-01825-3

Abstract: The model-based signal decomposition algorithm is an important research direction in the field of digital signal processing, especially based on the amplitude modulation and frequency modulation (AMFM) model. In this paper, a signal decomposition algorithm… read more here.

Keywords: amfm model; signal decomposition; equation; model ... See more keywords

An 80 Gbps multi-band access radio over fiber link with single side band optical millimeter-wave dispersion-tolerant transmission without FBG and optical filter

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recommendations! Published in 2017 at "Opto-electronics Review"

DOI: 10.1016/j.opelre.2017.07.001

Abstract: Abstract We are presenting a new low-cost Single Sideband (SSB) modulated Radio-over Fiber (RoF) communication system for millimeter (mm)-wave multiband wireless communication at the frequencies of 40 GHz, 80 GHz and 120 GHz. Its principle lies in the… read more here.

Keywords: band; signal decomposition; radio fiber; millimeter wave ... See more keywords

Multicomponent collaborative time-frequency state-space model for vibration signal decomposition under nonstationary conditions

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad3297

Abstract: The implementation of prognostics and health management strategies is essential for enhancing the safety and maintenance of rotating equipment in chemical plants. The examination of vibration signal behaviours under variable-speed conditions and the development of… read more here.

Keywords: signal decomposition; vibration signal; decomposition; multicomponent collaborative ... See more keywords

Change Smoothness-Based Signal Decomposition Method for Multimodal Change Detection

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3217348

Abstract: Change detection using multimodal remote sensing images is a very important and challenging topic. Due to the different imaging conditions, multimodal images cannot be directly compared to obtain changes. To address this challenge, in this… read more here.

Keywords: change detection; signal decomposition; change; change smoothness ... See more keywords

VMDPgram: An Effective Signal Decomposition Method for Rolling Bearing Fault Diagnosis

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3550998

Abstract: Due to the powerful signal decomposition performance, variational mode decomposition (VMD) is popularly used in numerous fields. Multiparameter optimization has always been the focus of VMD and has also plagued the development of its theory.… read more here.

Keywords: bearing fault; signal decomposition; vmdpgram effective; decomposition ... See more keywords

Masked Time–Frequency Representation and Enhanced Priors Enabled Weak Electromechanical Signal Decomposition Algorithm

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3571113

Abstract: Electromechanical equipment typically consists of numerous parts, including motors, reducers, and loads, which contribute to the complexity of signals sampled from the equipment. Performing signal decomposition calculations to extract highly state-correlated yet weak components holds… read more here.

Keywords: signal decomposition; representation; time frequency; decomposition ... See more keywords

Harmonic Linearization and Investigation of Three-Phase Parallel-Structured Signal Decomposition Algorithms in Grid-Connected Applications

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recommendations! Published in 2021 at "IEEE Transactions on Power Electronics"

DOI: 10.1109/tpel.2020.3021723

Abstract: In practice, because of different factors, the supply voltage (especially in the distribution level) almost always has some degrees of imbalance and harmonic pollution. With increasing the level of these power quality issues in recent… read more here.

Keywords: power; decomposition algorithms; signal decomposition; harmonic linearization ... See more keywords

JOT: A Variational Signal Decomposition Into Jump, Oscillation and Trend

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recommendations! Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3145665

Abstract: 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… read more here.

Keywords: jump oscillation; oscillation trend; signal decomposition; decomposition ... See more keywords

A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method

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recommendations! Published in 2017 at "Shock and Vibration"

DOI: 10.1155/2017/7286946

Abstract: This paper proposes a new signal decomposition method that aims to decompose a multicomponent signal into monocomponent signal. The main procedure is to extract the components with frequencies higher than a given bisecting frequency by… read more here.

Keywords: decomposition method; generalized demodulation; signal decomposition; method ... See more keywords

Runoff prediction using combined machine learning models and signal decomposition

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recommendations! Published in 2024 at "Journal of Water and Climate Change"

DOI: 10.2166/wcc.2024.663

Abstract: Accurate forecasting of increasingly unpredictable river runoff is essential for effective water resource management in the face of climate change and human activities. This study uses four machine learning models of long short-term memory neural… read more here.

Keywords: signal decomposition; learning models; machine learning; decomposition ... See more keywords