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Prof. Mathias Bode

Distinguished Lecturer of Electrical Engineering
School of Computer Science & Engineering
Constructor University Bremen, gGmbH, Campus Ring 1 28759 Bremen Germany
Phone number
+49 421 200-3139
Fax number
+49 421 200-3103
Email Address
mbode@constructor.university
Office
Research I, Room 93
Selected Publications

On Joint Beamforming and Spectral Enhancement for Robust ASR in Reverberant Environments

 

Robust coordinated downlink beamforming for multicell-cognitive radio networks

 

Robust Multicell Downlink Beamforming Based on Second-Order Statistics of Channel State Information

 

PARALLEL ANALOG COMPUTATION OF COUPLED BIOLOGICAL OSCILLATORS

 

Multicell Downlink Beamforming with Imperfect Channel Knowledge at Both Transceiver Sides

 

Analytical SIR for Self-Organizing Wireless Networks

 

Synergetic hardware concepts for self-organizing neural networks

 

Wave propagation in self-organizing feature maps as a means for the representation of temporal sequences

 

Lateral Neural Model of Binocular Rivalry

 

Realization of a neural algorithm by means of front-propagation in a thyristor-based hybrid system

 

Soft nearest prototype classification

 

Rotating bound states of dissipative solitons in systems of reaction-diffusion type

 

Erratum to “Interaction of dissipative solitons: particle-like behaviour of localized structures in a three-component reaction-diffusion system” [Physica D 161 (2002) 45–66]

 

Adaptive and economic data representation in control architectures of autonomous real-world robots

 

Modified Spectral Subtraction using Diffusive Gain Factors

 

Gebundene Zustände von dissipativen Solitonen und ihre Drift-Rotations-Dynamik

 

Interaction of dissipative solitons: Particle-like behaviour of localized structures in a three-component reaction-diffusion system

 

Interaction of dissipative quasi-particles: Scattering, formation of bound-states, generation and annihilation

 

Pattern Formation in Dissipative Systems: A Particle Approach

 

Hybrid hardware for a highly parallel search in the context of learning classifiers