Detailansicht

Wissensnetz

Person

Marius Pesavento (1973-)

Ingenieur

Name	Marius Pesavento
Zeit	1973- (Lebensdaten)
Ort	Werl (Geburtsort) Darmstadt (Wirkungsort) Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dipl.-Ing., Dr.-Ing., Prof. Dr.-Ing.
Beruf	Ingenieur (charakteristischer Beruf)
Beziehung	Technische Universität Darmstadt. Fachbereich Elektrotechnik und Informationstechnik
Weitere Angaben	Dissertation; 2005; Fakultät für Elektrotechnik und Informationstechnik; Ruhr-Universität Bochum
Quelle	Homepage: https://www.nts.tu-darmstadt.de/home_nts/staff_nts/mitarbeiterdetails_12801.de.jsp (Stand: 28.08.2020) Dissertation
Datensatztyp	Person
GND-Nummer	130064068
Datensatz-ID	130064068
Beteiligt an alle anzeigen A Parallel Successive Convex Approximation Framework with Smoothing Majorization for Phase Retrieval Air-Coupled Ultrasonic Spiral Phased Array for High-Precision Beamforming and Imaging Massive MIMO and multi-hop mobile communication systems Signal processing for multicell multiuser MIMO wireless communication systems Tensor decompositions and algorithms for efficient multidimensional signal processing Two-Scale Sparse Spiral Array Design for 3D Ultrasound Imaging in Air General Rank Transmit Beamforming Methods for Multicasting Networks Ultrasonic Phased Arrays for 3D Sonar Imaging in Air Development and Performance Analysis of Direction-of-Arrival Estimators 3D Imaging Method for an Air-Coupled 40 kHz Ultrasound Phased-Array Advanced array signal processing algorithms for multi-dimensional parameter estimation Energy-Efficient and Robust Hybrid Analog-Digital Precoding for Massive MIMO Systems Graph Learning Methods for Genetic Interaction Networks Compressive Acquisition and Processing of Sparse Analog Signals Centralized coordinated scheduling in LTE-Advanced networks Centralized coordinated scheduling in LTE-Advanced networks Multicast and Relay Beamforming in Wireless Multi-User Networks Fast algorithms for multidimensional harmonic retrieval Fast algorithms for multidimensional harmonic retrieval = Schnelle Algorithmen zur Erkennung von mehrdimensionalen Harmonischen

Hinweis

Die Betaversion beinhaltet noch nicht alle Funktionen und Informationen des Katalogs des DNB-Portals. Falls Sie Informationen vermissen oder ein Medium bestellen wollen, besuchen Sie bitte die entsprechende Seite im Katalog des DNB-Portals über folgenden Link:

Katalog der Deutschen Nationalbibliothek

Marius Pesavento (1973-)

A Parallel Successive Convex Approximation Framework with Smoothing Majorization for Phase Retrieval

Air-Coupled Ultrasonic Spiral Phased Array for High-Precision Beamforming and Imaging

Massive MIMO and multi-hop mobile communication systems

Signal processing for multicell multiuser MIMO wireless communication systems

Tensor decompositions and algorithms for efficient multidimensional signal processing

Two-Scale Sparse Spiral Array Design for 3D Ultrasound Imaging in Air

General Rank Transmit Beamforming Methods for Multicasting Networks

Ultrasonic Phased Arrays for 3D Sonar Imaging in Air

Development and Performance Analysis of Direction-of-Arrival Estimators

3D Imaging Method for an Air-Coupled 40 kHz Ultrasound Phased-Array

Advanced array signal processing algorithms for multi-dimensional parameter estimation

Energy-Efficient and Robust Hybrid Analog-Digital Precoding for Massive MIMO Systems

Graph Learning Methods for Genetic Interaction Networks

Compressive Acquisition and Processing of Sparse Analog Signals

Centralized coordinated scheduling in LTE-Advanced networks

Centralized coordinated scheduling in LTE-Advanced networks

Multicast and Relay Beamforming in Wireless Multi-User Networks

Fast algorithms for multidimensional harmonic retrieval

Fast algorithms for multidimensional harmonic retrieval = Schnelle Algorithmen zur Erkennung von mehrdimensionalen Harmonischen