Adaptive variational mode decomposition method for signal processing based on mode characteristic
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.01.019
Abstract: Abstract Variational mode decomposition is a completely non-recursive decomposition model, where all the modes are extracted concurrently. However, the model requires a preset mode number, which limits the adaptability of the method since a large… read more here.
Keywords: mode; mode decomposition; adaptive variational; variational mode ... See more keywords
Computing the Many-Body Green's Function with Adaptive Variational Quantum Dynamics.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.3c00150
Abstract: We present a method to compute the many-body real-time Green's function using an adaptive variational quantum dynamics simulation approach. The real-time Green's function involves the time evolution of a quantum state with one additional electron… read more here.
Keywords: many body; function; green function; variational quantum ... See more keywords
Automatic Relevance Determination of Adaptive Variational Bayes Sparse Decomposition for Micro-Cracks Detection in Thermal Sensing
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2017.2722465
Abstract: Induction thermography has been applied as an emerging non-destructive testing and evaluation technique for a wide range of conductive materials. The infrared vision sensing acquired image sequences contain valuable information in both spatial and time… read more here.
Keywords: relevance determination; detection; adaptive variational; variational bayes ... See more keywords