Demo Data from EDBT 2026 / reviewers in the wild / expert
Giovanni De Sanctis
dblp:05/8308
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Audio and music processing · 50% Computer animation and physical simulation · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation
physically-based modeling |
0.1 | 1 | 2010 | Virtual Analog Modeling in the Wave-Digital Domain · IEEE Trans. Speech Audio Process. 2010 |
Audio and music processing › audio effects
virtual analog modeling |
0.1 | 1 | 2010 | Virtual Analog Modeling in the Wave-Digital Domain · IEEE Trans. Speech Audio Process. 2010 |
Methods — techniques the papers use, named apart from their topics
wave digital structures · 0.1nonlinear wave digital · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Virtual Analog Modeling in the Wave-Digital DomainabstractWe refer to ¿Virtual Analog¿ (VA) as a wide class of digital implementations that are modeled after nonlinear analog circuits for generating or processing musical sounds. The reference analog system is therefore typically represented by a set of blocks that are connected with each other through electrical ports, and usually exhibits a nonlinear behavior. It therefore seems quite natural to consider Nonlinear Wave Digital modeling as a solid approach for the rapid prototyping of such systems. In this paper, we discuss how nonlinear wave digital modeling can be fruitfully used for this purpose, with particular reference to special blocks and connectors that allow us to overcome the implementational difficulties and potential limitations of such solutions. In particular, we address some issues that are typical of VA and physical modeling, concerning how to accommodate special blocks into WD structures, how to enable the interaction between different WD structures, and how to accommodate structural and topological changes on the fly. Giovanni De Sanctis, Augusto Sarti |
IEEE Trans. Speech Audio Process. | 1 |
| 2006 | Memory Extraction From Dynamic Scattering Junctions in Wave Digital StructuresabstractIn this letter, we show that a computable tree-like interconnection of parallel/series wave digital (WD) adaptors with memory (i.e., characterized by reflection filters instead of reflection coefficients) is equivalent to a like interconnection of standard (memoryless) adaptors whose peripheral ports are connected to mutators (two-port adaptors with memory). In proving all this, we provide a methodology for "extracting the memory" from a macro-adaptor, which can be fruitfully employed to simplify the implementation of WD structures Augusto Sarti, Giovanni De Sanctis |
IEEE Signal Process. Lett. | 2 |