Lehrstuhl für Multimediakommunikation und Signalverarbeitung


Description:


The chair belongs to the Department of Electrical, Electronic and Communication Engineering of the Faculty of Engineering. It is headed by Prof. Dr.-Ing. André Kaup, associated is the group of Prof. Dr.-Ing. Walter Kellermann.

Research:

The scientific research at our chair is structured in three major fields of activity:

Video Signal Processing and Transmission: Within the area of video coding and transmission emphasis is on development of signal processing methods for image and video coding at low data rates and for quality improvement in noisy video signals or such which are received with transmission errors.

Audio Communications and Computational Acoustics: The field of audio communications and computational acoustics develops algorithms for recording and reproduction of audio signals and verifies their performance by experiments.

Multidimensional Signals and Systems Theory: Within the area of video coding and transmission emphasis is on development of signal processing methods for image and video coding at low data rates and for quality improvement in noisy video signals or such which are received with transmission errors.

Teaching:

We offer lectures, Project Theses, Research Internships and Theses in a variety of Bachelor and Master programmes of the Faculty of Engineering, e.g. in Electrical, Electronic and Communication Engineering, Information and Communication Technology, Medical and Health Engineering, Industrial Engineering and Management, as well as in the international study programmes Communications and Multimedia Engineering and Computational Engineering.


Address:
Cauerstraße 7/9
91058 Erlangen



Subordinate Organisational Units

Professur für Maschinelles Lernen in der Signalverarbeitung
Professur für Nachrichtentechnik


Research Fields

Audio and Acoustic Signal Processing
Multidimensional Signals and Systems Theory
Video Signal Processing and Transmission


Related Project(s)

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3D-Objekterkennung: 3D-Objekterkennung in einer von mehreren Kameras beobachteten Szene
Prof. Dr.-Ing. Andre Kaup
(01/07/2016 - 30/06/2019)


Development of content adaptive screen sharing coding
Prof. Dr.-Ing. Andre Kaup
(05/02/2016 - 28/02/2017)


Modelling, Design, and Implementation of Molecular Communication Systems
Prof. Dr. Rudolf Rabenstein; Prof. Dr.-Ing. Robert Schober
(01/01/2016 - 30/04/2020)


Forschungsinfrastruktur
Prof. Dr.-Ing. Andre Kaup
(01/01/2016 - 31/12/2018)


DCnet: Predictive Protection Devices for Direct Current Networks
Prof. Dr. Rudolf Rabenstein
(01/01/2015 - 31/03/2018)



Publications (Download BibTeX)

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van Luong, H., Deligiannis, N., Seiler, J., Forchhammer, S., & Kaup, A. (2018). Sparse Signal Recovery with Multiple Prior Information: Algorithm and Measurement Bounds. Signal Processing. https://dx.doi.org/https://doi.org/10.1016/j.sigpro.2018.06.019
Jaskolka, K., & Kaup, A. (2018). Joint Optimization of Rate, Distortion, and Maximum Absolute Error for Compression of Medical Volumes Using HEVC Intra. San Francisco, CA.
Lanz, D., Seiler, J., Jaskolka, K., & Kaup, A. (2018). Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update. San Francisco, CA.
van Luong, H., Deligiannis, N., Forchhammer, S., & Kaup, A. (2018). Compressive online decomposition of dynamic signals via n-l1 minimization with clustered priors. Freiburg, DE.
van Luong, H., Deligiannis, N., Seiler, J., Forchhammer, S., & Kaup, A. (2018). Compressive Online Robust Principal Component Analysis via n - ℓ1 Minimization. IEEE Transactions on Image Processing, 27(9), 4314-4329. https://dx.doi.org/10.1109/TIP.2018.2831915
Herglotz, C., & Kaup, A. (2018). Decoding Energy Estimation of an HEVC Hardware Decoder. Florenz, IT.
van Luong, H., Deligiannis, N., Forchhammer, S., & Kaup, A. (2018). Online decomposition of compressive streaming data using n-l1 cluster-weighted minimization. Snowbird, Utah, US.
Zheng, C., Deleforge, A., Li, X., & Kellermann, W. (2018). Statistical Analysis of the Multichannel Wiener Filter Using a Bivariate Normal Distribution for Sample Covariance Matrices. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(5), 951-966. https://dx.doi.org/10.1109/TASLP.2018.2800283
Rabenstein, R., Schäfer, M., Bauer, J., & Strobl, C. (2018). A Wave Digital Kalman Filter Approach for Fault Detection in DC Grids: A Case Study. Florence, IT.
Herglotz, C., Springer, D., Reichenbach, M., Stabernack, B., & Kaup, A. (2018). Modeling the Energy Consumption of the HEVC Decoding Process. IEEE Transactions on Circuits and Systems For Video Technology, 28, 217-229. https://dx.doi.org/10.1109/TCSVT.2016.2598705
Kiesel, D., Richter, T., Seiler, J., & Kaup, A. (2018). Color Channel Reconstruction for Multi-Color Multi-View Images Using Disparity and Color Similarity-based Local Linear Regression. San Francisco, US.
Strobl, C., Schäfer, M., & Rabenstein, R. (2018). Non-Recursive System Identification and Fault Detection in LVDC and ELVDC Grids. Florence, IT.
Ghosh, S., Shet, R., Amon, P., Hutter, A., & Kaup, A. (2018). Robustness of Deep Convolutional Neural Networks for Image Degradations. Calgary, Canada, CA.
Genser, N., Seiler, J., & Kaup, A. (2018). Spectral Constrained Frequency Selective Extrapolation for Rapid Image Error Concealment. Maribor, SI.
Seiler, J., Jonscher, M., Ussmueller, T., & Kaup, A. (2018). Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation. IEEE Transactions on Circuits and Systems For Video Technology.
Schäfer, M., & Rabenstein, R. (2018). Modeling of Transport Processes in Bounded Domains. Paper presentation at 3rd Workshop on Molecular Comunications, Ghent, BE.
Herglotz, C. (2018). Energy Efficient Video Decoding. München: Dr. Hut.
Schäfer, M., & Rabenstein, R. (2018). Physical Modelling of Guitar Strings with Realistic Boundary Conditions. München, DE.
Herglotz, C., Kränzler, M., & Kaup, A. (2018). Decoding Energy Modeling for the Next Generation Video Codec Based on JEM. San Francisco, US.
Schäfer, M., Wicke, W., Rabenstein, R., & Schober, R. (2018). An nD Model for a Cylindrical Diffusion-Advection Problem with an Orthogonal Force Component. Shanghai, CN.

Last updated on 2018-03-05 at 16:06