3 papers
eess.AS2021
Manifold learning-supported estimation of relative transfer functions for spatial filtering
Andreas Brendel, Johannes Zeitler, Walter Kellermann
Many spatial filtering algorithms used for voice capture in, e.g., teleconferencing applications, can benefit from or even rely on knowledge of Relative Transfer Functions (RTFs).…
cs.ET2021
Saturating Receiver and Receptor Competition in Synaptic DMC: Deterministic and Statistical Signal Models
Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler +1
Synaptic communication is based on a biological Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. However, the physical mod…
cs.ET2020
Receptor Saturation Modeling for Synaptic DMC
Sebastian Lotter, Maximilian Schäfer, Johannes Zeitler +1
Synaptic communication is a natural Molecular Communication (MC) system which may serve as a blueprint for the design of synthetic MC systems. In particular, it features highly spe…