Dr.-Ing. Andreas Brendel

Professur für Signalverarbeitung

Microphone utility estimation in acoustic sensor networks using single-channel signal features (2023) Günther M, Brendel A, Kellermann W Journal article End-to-End Deep Learning-Based Adaptation Control for Linear Acoustic Echo Cancellation (2023) Haubner T, Brendel A, Kellermann W Journal article, Original article Spatially Informed Independent vector analysis for Source Extraction based on the convolutive Transfer Function Model (2023) Wang X, Brendel A, Huang G, Yang Y, Kellermann W, Chen J Conference contribution GEOMETRICALLY CONSTRAINED SOURCE EXTRACTION AND DEREVERBERATION BASED ON JOINT OPTIMIZATION (2023) Yang Y, Wang X, Brendel A, Zhang W, Kellermann W, Chen J Conference contribution A Unifying View on Blind Source Separation of Convolutive Mixtures Based on Independent Component Analysis (2023) Brendel A, Haubner T, Kellermann W Journal article End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification (2022) Haubner T, Brendel A, Kellermann W Conference contribution, Conference Contribution Manifold learning-supported estimation of relative transfer functions for spatial filtering (2022) Brendel A, Zeitler J, Kellermann W Conference contribution, Conference Contribution Online Acoustic System Identification Exploiting Kalman Filtering and an Adaptive Impulse Response Subspace Model (2022) Haubner T, Brendel A, Kellermann W Journal article A bilinear framework for adaptive speech dereverberation combining beamforming and linear prediction (2022) Yang W, Huang G, Brendel A, Chen J, Benesty J, Kellermann W, Cohen I Conference contribution, Conference Contribution From Blind to Semi-Blind Acoustic Source Separation based on Independent Component Analysis (2022) Brendel A Thesis