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Giovanni De Sanctis

dblp:05/8308 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
physically-based modeling
0.112010
Virtual Analog Modeling in the Wave-Digital Domain · IEEE Trans. Speech Audio Process. 2010
Audio and music processing › audio effects
virtual analog modeling
0.112010
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
YearPublicationVenuePosition
2010 Virtual Analog Modeling in the Wave-Digital Domain
abstract
We 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 Structures
abstract
In 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