The local mean decomposition and its application to EEG perception data

Journal of the Royal Society Interface, 2005

941 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/aa203d947f5c252e3f57afc7a623b74e142a4e55

Citations in the corpus

• Energy-based damage localization under ambient vibration and non-stationary signals by ensemble empirical mode decomposition and Mahalanobis-squared distance (2019, methodology): “In the second comparison, local mean decomposition (LMD) proposed by Smith (2005) is employed to investigate the effectiveness and superiority of EEMD over this technique.”
• Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis (2023, background): “Regarding the product function as an amplitude-modulated and frequency-modulated signal and obtaining envelop signals and frequency-modulated signals respectively, Smith [11] designed the concept of local mean 0278-0046 © 2022 IEEE.”
• Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis (2013, methodology): “The following are current and future directions in EMD research: ■ EMD-inspired methods, including sparse monocomponent dictionaries, constrained optimization, and connections with compressed sensing [46], [5], [12] ■ EMD as a tool for preprocessing (denoising, orthogonalization) and sparsification ”
• Deep Learning with Long Short-Term Memory Networks for Diagnosing Faults in Smart Grids (2021, methodology): “WPD (Pham et al. 2019), LMD (Smith 2005), EMD (Ji et al. 2016), BMPD, (Jiang et al. 2014) and its variants such as OMPD (Pati et al. 1993) and WMPD (Foucart 2012), and VMD (Dragomiretskiy and Zosso 2013) are well-known signal processing tools in the time-frequency domain to decompose an arbitrarily ”
• Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings (2017, background): “The results of mode mixing can result in erratic or negative instantaneous frequencies [33].”