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Modal decomposition signal subspace algorithms
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986A new method of estimating the locations of multiple wide-band emitters arriving at an array of sensors is presented in this paper. The wide-band emitter location problem is treated as a separable multidimensional spectrum estimation problem by modal decomposition of the estimated spectral factor or spectral density matrix at the poles of the emitters.
Guaning Su, Martin Morf
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On-signal decomposition techniques
Optical Engineering, 1991Well-known block transforms and perfect reconstruction orthonormal filter banks are evaluated based on their frequency behavior and energy compaction. The filter banks outperform the block transforms for the signal sources considered. Although the latter are simpler to implement and already the choice of the existing video coding standards, filter ...
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Knowledge-based signal processing in the decomposition of myoelectric signals
IEEE Engineering in Medicine and Biology Magazine, 1988The mixture of quantitative and qualitative information utilized in decomposition, which suggests that a purely numerical approach to the task would be inefficient, is discussed. The incorporation of symbolic processing methods into the decomposition system to complement the numerical aspects of the task is discussed. The overall philosophy used in the
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2015
Signal decomposition is in large part concerned with recovering the underlying structure of the signal of interest. This subject has been studied extensively in the literature and holds an important place in the biomedical signal processing field as most signal processing problems in this arena defy the simple signal plus AWGN model.
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Signal decomposition is in large part concerned with recovering the underlying structure of the signal of interest. This subject has been studied extensively in the literature and holds an important place in the biomedical signal processing field as most signal processing problems in this arena defy the simple signal plus AWGN model.
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Machine-learning-enabled adaptive signal decomposition for a brain-computer interface using EEG
Biomedical Signal Processing and Control, 2022Ashwin Kamble
exaly
Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing
ISA Transactions, 2020Jinde Zheng, Haiyang Pan
exaly
Seismic signal denoising using thresholded variational mode decomposition
Exploration Geophysics, 2018, Kurt Marfurt, Bo Zhang
exaly

