DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning ...
Abstract: Signal flow-graph techniques provide not only numeric but also symbolic expressions for network functions in terms of component parameters; these procedures are also useful in obtaining ...
Abstract: Mason's gain formula can grow factorial because of growth in the enumeration of paths in a directed graph. Each of the (n - 2)! permutation of the intermediate vertices includes a path ...
Bearings are very important components in mechanical equipment, and detecting bearing failures helps ensure healthy operation of mechanical equipment and can prevent catastrophic accidents. Most of ...
In this work we propose a machine learning (ML) method to aid in the diagnosis of schizophrenia using electroencephalograms (EEGs) as input data. The computational algorithm not only yields a proposal ...
In the research of the fMRI based brain functional network, the pairwise correlation between vertices usually means the similarity between BOLD signals. Our analysis found that the low (0:01–0:06 Hz), ...
Friedrich-Alexander-University Erlangen-Nuremberg, Chair of Reliable Circuits and Systems Paul-Gordan, Erlangen, Germany. There are various methods in the circuit technology to ca1culate transfer ...
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