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Lehrstuhl für Allgemeine Elektrotechnik und Theoretische Nachrichtentechnik


Prof. Dr.- Ing. Anton Kummert

Dr.-Ing. Jörg Velten

 

Kontakt

Raum:FE 1.06
Telefon:+49 (0)202 439 1811
E-Mail: velten{at}uni-wuppertal.de

 

Publikationen

Referenzen
100.
K. Kalischewski; D. Wagner; J. Velten; A. Kummert
Spoken Letter Recognition using Deep Convolutional Neural Networks on Sparse and Dissimilar Data
2019 IEEE International Symposium on Circuits and Systems (ISCAS) , Seite 1-5.
2019

Schlüsselwörter: Training;Task analysis;Visualization;Spectrogram;Convolutional neural networks;Image recognition

99.
D. Wagner; K. Kalischewski; S. Tilgner; J. Velten; A. Kummert
Automatic Labeling of Industrial Images by using Generative Adversarial Networks
2019 IEEE International Symposium on Circuits and Systems (ISCAS) , Seite 1-5.
2019

Schlüsselwörter: Kernel;Generative adversarial networks;Training;Decoding;Generators;Loss measurement;Mutual information

98.
L. Kolonko; J. Velten; A. Kummert
Live Demonstration: A Raspberry Pi Based Video Pipeline for 2-D Wave Digital Filters on Low-Cost FPGA Hardware
2019 IEEE International Symposium on Circuits and Systems (ISCAS) , Seite 1-1.
2019

Schlüsselwörter: Field programmable gate arrays;Economic indicators;Liquid crystal displays;Pipeline processing;Digital filters;Hardware;Universal Serial Bus;Wave Digital Filter;Video Pipeline;FPGA;Raspberry Pi

97.
L. Kolonko; J. Velten; A. Kummert
A Raspberry Pi Based Video Pipeline for 2-D Wave Digital Filters on Low-Cost FPGA Hardware
2019 IEEE International Symposium on Circuits and Systems (ISCAS) , Seite 1-5.
2019

Schlüsselwörter: Field programmable gate arrays;Streaming media;Pipelines;Economic indicators;Universal Serial Bus;Hardware;Digital filters;Wave Digital Filter;Video Pipeline;FPGA;Raspberry Pi

96.
S. Tilgner; D. Wagner; K. Kalischewski; J. Velten; A. Kummert
Multi-View Fusion Neural Network with Application in the Manufacturing Industry
2019 IEEE International Symposium on Circuits and Systems (ISCAS) , Seite 1-5.
2019

Schlüsselwörter: Cameras;Cavity resonators;Biological neural networks;Training;Predictive models;Convolutional neural networks

95.
Cao Jiuwen; Anton Kummert; Lin Zhiping; Jörg Velten
Recent Advances in Machine Learning for Signal Analysis and Processing
Journal of The Franklin Institute, Special Issue, 355(4):1513-2066
März 2018
94.
Jörg Velten; Anton Kummert; D. Wagner; K. Galkowski
A k-D Stability Measure for Discrete Roesser-Like System Implementations
Januar 2018
93.
L. Kolonko; J. Velten; A. Kummert
Word Length Optimization of 2-D Wave Digital Filters with Weighted Quantization Error Variances
2018 IEEE International Symposium on Circuits and Systems (ISCAS) , Seite 1-5.
2018

Schlüsselwörter: data compression;image coding;image filtering;optimisation;wave digital filters;weighted quantization error variances;finite word length optimization;shared memory bus width;arbitrary bus widths;2D-WDF;2D wave digital filters;magnitude truncation;image sizes;intuitive unbalanced approach;noise figure 23.0 dB;Quantization (signal);Optimization;Transfer functions;Computational modeling;Digital filters;Wave Digital Filter;Quantization;Magnitude Truncation;Optimization

92.
Alexandros Gavriilidis; Jörg Velten; Stephan Tilgner; Anton Kummert
Machine learning for people detection in guidance functionality of enabling health applications by means of cascaded SVM classifiers
Journal of the Franklin Institute
Oktober 2017
91.
Kathrin Kalischewski; Daniel Wagner; Jörg Velten; Anton Kummert
Activity recognition for indoor movement and estimation of travelled path
2017 10th International Workshop on Multidimensional (nD) Systems (nDS) , Seite 1-5.
September 2017

Schlüsselwörter: accelerometer data, accelerometers, data analysis, feature extraction, Foot, gyroscopes, human activity detection, human activity recognition, IMU, indoor environment, indoor movement, indoor positioning systems, inertial measurement unit, learning (artificial intelligence), Legged locomotion, machine learning, mobile computing, path estimation, support vector machines, Training, wearable computers, wearables

90.
Stephan Tilgner; Jörg Velten; Anton Kummert
Object representation for fast trajectory collision testing by means of 2-D algebraic conic sections
Multidimensional (nD) Systems (nDS), 2017 10th International Workshop on , Seite 1-6.
September 2017
89.
Jörg Velten; Daniel Wagner; Lech Kolonko; Kathrin Kalischewski; Stephan Tilgner; Tim Schwerdtfeger; Anton Kummert
Examination of direct form vs. WDF realization of a 2-D quadrantal fan filter in FPGA hardware
Multidimensional (nD) Systems (nDS), 2017 10th International Workshop on
September 2017
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