Results 11 to 20 of about 342,542 (111)

Discrete Morphological Neural Networks [PDF]

arXiv.org, 2023
A classical approach to designing binary image operators is Mathematical Morphology (MM). We propose the Discrete Morphological Neural Networks (DMNN) for binary image analysis to represent W-operators and estimate them via machine learning.
Diego Marcondes, Junior Barrera
semanticscholar   +1 more source

Classical sampling theorems in the context of multirate and polyphase digital filter bank structures [PDF]

, 1988
The recovery of a signal from so-called generalized samples is a problem of designing appropriate linear filters called reconstruction (or synthesis) filters. This relationship is reviewed and explored. Novel theorems for the subsampling of sequences are
Liu, Vincent C., Vaidyanathan, P. P.
core   +1 more source

Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription [PDF]

, 2011
In this paper, a method for automatic transcription of music signals based on joint multiple-F0 estimation is proposed. As a time-frequency representation, the constant-Q resonator time-frequency image is employed, while a novel noise suppression ...
Emmanouil Benetos, Simon Dixon, Student Member   +2 more
core   +3 more sources

Distributed Simulation of Heterogeneous and Real-time Systems [PDF]

, 2013
This work describes a framework for distributed simulation of cyber-physical systems (CPS). Modern CPS comprise large numbers of heterogeneous components, typically designed in very different tools and languages that are not or not easily composeable ...
Cardoso, Janette, Derler, Patricia, Lasnier, Gilles, Pagetti, Claire, Siron, Pierre   +4 more
core   +1 more source

Geant4-related R&D for new particle transport methods

, 2009
A R&D project has been launched in 2009 to address fundamental methods in radiation transport simulation and revisit Geant4 kernel design to cope with new experimental requirements.
Augelli, M., Begalli, M., Evans, T., Filho, P. Queiroz, Gargioni, E., Hauf, S., Kim, C. H., Kuster, M., Pia, M. G., Quintieri, L., Santos, D. Souza, Saracco, P., Weidenspointner, G., Zoglauer, A.   +13 more
core   +1 more source

Collagenase injection versus limited fasciectomy surgery to treat Dupuytren’s contracture in adult patients in the UK: DISC, a non-inferiority RCT and economic evaluation

Health Technology Assessment
Background Dupuytren’s contracture is caused by nodules and cords which pull the fingers towards the palm of the hand. Treatments include limited fasciectomy surgery, collagenase injection and needle fasciotomy.
Joseph Dias, Puvan Tharmanathan, Catherine Arundel, Charlie Welch, Qi Wu, Paul Leighton, Maria Armaou, Belen Corbacho, Nick Johnson, Sophie James, John Cooke, Christopher Bainbridge, Michael Craigen, David Warwick, Samantha Brady, Lydia Flett, Judy Jones, Catherine Knowlson, Michelle Watson, Ada Keding, Catherine Hewitt, David Torgerson   +21 more
doaj   +1 more source

Spectral Domain Sampling of Graph Signals

, 2018
Sampling methods for graph signals in the graph spectral domain are presented. Though conventional sampling of graph signals can be regarded as sampling in the graph vertex domain, it does not have the desired characteristics in regard to the graph ...
Tanaka, Yuichi
core   +1 more source

The Fractional Variable-Order Grassi-Miller Map: Chaos, Complexity, and Control

Comput. Math. Methods
In the topic of discrete variable‐order systems governed by fractional difference equations, this study makes a significant contribution by introducing two innovative variable‐order versions of the fractional Grassi–Miller system.
A. Ouannas, Souad Bensid Ahmed, Giuseppe Grassi, M. Horani, Amina-Aicha Khennaoui, Amel Hioual   +5 more
semanticscholar   +1 more source

Graph Spectral Image Processing

, 2018
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks).
Cheung, Gene, Magli, Enrico, Ng, Michael, Tanaka, Yuichi   +3 more
core   +1 more source

Generating descriptive text from functional brain images [PDF]

, 2011
Recent work has shown that it is possible to take brain images of a subject acquired while they saw a scene and reconstruct an approximation of that scene from the images. Here we show that it is also possible to generate _text_ from brain images.
Francisco Pereira, Greg Detre, Matthew Botvinick   +2 more
core   +1 more source