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ORCIDWerner G. Teich
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- affiliation: University of Ulm, Germany
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2020 – today
- 2023
[j6]Thanawat Thiasiriphet
, Werner G. Teich:
Chirp-spreaded OFDM-MFSK with differentially encoded phase for applications in low-power wide-area networks. Comput. Electr. Eng. 105: 108477 (2023)- [c25]Werner G. Teich, Weikun Pan:
Scalable Convolutional Neural Networks for Decoding of Terminated Convolutional Codes. IWANN (1) 2023: 43-54 - 2021
- [c24]Thanawat Thiasiriphet, Werner G. Teich:
Combining OFDM-MFSK and Chirp Spread Spectrum Modulation for Applications in Low-Power Wide-Area Networks. ICSPCS 2021: 1-8 - 2020
- [c23]Werner G. Teich, Ruiqi Liu, Vasileios Belagiannis:
Deep Learning versus High-order Recurrent Neural Network based Decoding for Convolutional Codes. GLOBECOM 2020: 1-7
2010 – 2019
- 2019
- [c22]Werner G. Teich, Heiko Teich, Giuseppe Oliveri:
From Iterative Threshold Decoding to a Low-Power High-Speed Analog VLSI Decoder Implementation. IWANN (2) 2019: 615-628 - 2017
- [j5]Giuseppe Oliveri, Mohamad Mostafa, Werner G. Teich, Jürgen Lindner, Hermann Schumacher:
Advanced Low Power High Speed Nonlinear Signal Processing: An Analog VLSI Example. J. Signal Process. Syst. 89(1): 163-180 (2017) - [c21]Werner G. Teich:
Low-power high-speed signal processing: From iterative algorithm to analog circuits. ICSPCS 2017: 1 - [c20]Thanawat Thiasiriphet, Werner G. Teich, Jürgen Lindner:
A novel comb filter based rake-like receiver for code-reference UWB transmission. ICSPCS 2017: 1-9 - 2014
- [j4]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Local Stability Analysis of Discrete-Time, Continuous-State, Complex-Valued Recurrent Neural Networks With Inner State Feedback. IEEE Trans. Neural Networks Learn. Syst. 25(4): 830-836 (2014) - [c19]Gilbert Yammine, Eva Peiker, Werner G. Teich, Jürgen Lindner:
Improved performance of coded OFDM-MFSK using combined alphabets and extended mapping. ISTC 2014: 17-21 - [c18]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Approximation of activation functions for vector equalization based on recurrent neural networks. ISTC 2014: 52-56 - [c17]Werner G. Teich, Lianghai Ji:
Variance Transfer Chart Analysis of an OFDM-IDMA System with Carrier Frequency Offset. VTC Fall 2014: 1-6 - 2013
- [c16]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Comparison of belief propagation and iterative threshold decoding based on dynamical systems. ISIT 2013: 2995-2999 - [c15]Lianghai Ji, Werner G. Teich:
An Improved Chip Detector for OFDM-IDMA over Fast Time-Variant Channels. ISWCS 2013: 1-5 - [p1]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Stability Analysis of Vector Equalization Based on Recurrent Neural Networks. Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering 2013: 329-349 - 2012
- [c14]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Vector equalization based on continuous-time recurrent neural networks. ICSPCS 2012: 1-7 - [c13]Werner G. Teich:
From complex algorithms to analog signal processing: Generalized recurrent neural networks. ICSPCS 2012: 1 - [c12]Werner G. Teich, Paul Wallner:
Soft iterative interference cancellation with successive over relaxation for digital transmission schemes based on multiple sets of orthogonal spreading codes. ICSPCS 2012: 1-5 - [c11]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Analysis of high order recurrent neural networks for analog decoding. ISTC 2012: 116-120 - 2011
- [c10]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Global vs. local stability of recurrent neural networks as vector equalizer. ICSPCS 2011: 1-5 - 2010
- [c9]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
A modified discrete recurrent neural network as vector detector. APCCAS 2010: 620-623
2000 – 2009
- 2009
- [c8]Eva Peiker, Werner G. Teich, Jürgen Lindner:
Windowing in the Receiver for OFDM Systems in High-Mobility Scenarios. MCSS 2009: 57-65 - [c7]Matthias Wetz, Daniel Huber, Werner G. Teich, Jürgen Lindner:
Robust Transmission over Frequency Selective Fast Fading Channels with Noncoherent Turbo Detection. VTC Fall 2009 - 2008
- [j3]Matthias Wetz, Ivan Perisa, Werner G. Teich, Jürgen Lindner:
Robust Transmission Over Fast Fading Channels on the Basis of OFDM-MFSK. Wirel. Pers. Commun. 47(1): 113-123 (2008) - [c6]Doris Y. Yacoub, Benjamin Baumgartner, Werner G. Teich, Jürgen Lindner:
Precoding and spreading for coded MIMO-OFDM. WSA 2008: 296-303 - 2003
- [j2]Christian Pietsch, Stephan Sand, Werner G. Teich, Jürgen Lindner:
Modeling and performance evaluation of multiuser MIMO systems using real-valued matrices. IEEE J. Sel. Areas Commun. 21(5): 744-753 (2003) - [c5]Markus A. Dangl, Christian Sgraja, Werner G. Teich, Jürgen Lindner, Jochem Egle:
Convergence behavior of iterative equalization and decoding schemes with equalization and memory. GLOBECOM 2003: 1710-1715 - [c4]Edgar Teufel, Marco Kletting, Werner G. Teich, Hans-Jörg Pfleiderer, C. Tarin-Sauer:
Modelling the glucose metabolism with backpropagation through time trained Elman nets. NNSP 2003: 789-798 - 2002
- [j1]Achim Engelhart, Werner G. Teich, Jürgen Lindner, Gábor Jeney, Sándor Imre, László Pap:
A survey of multiuser/multisubchannel detection schemes based on recurrent neural networks. Wirel. Commun. Mob. Comput. 2(3): 269-284 (2002) - [c3]Wolfgang Schlecker, Achim Engelhart, Werner G. Teich, Hans-Jörg Pfleiderer:
Hardware Implementation of a Multiuser Detection Scheme Based on Recurrent Neural Networks. FPL 2002: 1097-1100
1990 – 1999
- 1995
- [c2]Adrian Donder, M. Beck, Martin Bossert, J. Hess, U. Ketzer, Werner G. Teich:
Course on Simulation in Information Technology: the Global System for Mobile communications. ICASSP 1995: 1129-1132 - [c1]Werner G. Teich, Jürgen Lindner:
A novel decoder structure for convolutional codes based on a multilayer perceptron. ICNN 1995: 449-454
Coauthor Index
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