activity
20192023
collaborators

5 papers

eess.AS2023

Independent Vector Extraction Constrained on Manifold of Half-Length Filters

Zbyněk Koldovský, Jaroslav Čmejla, Tülay Adalı +1

Independent Vector Analysis (IVA) is a popular extension of Independent Component Analysis (ICA) for joint separation of a set of instantaneous linear mixtures, with a direct appli…

eess.SP2022

Dynamic Independent Component Extraction with Blending Mixing Vector: Lower Bound on Mean Interference-to-Signal Ratio

Jaroslav Čmejla, Zbyněk Koldovský, Václav Kautský +1

This paper deals with dynamic Blind Source Extraction (BSE) from where the mixing parameters characterizing the position of a source of interest (SOI) are allowed to vary over time…

eess.AS2022

Joint Acoustic Echo Cancellation and Blind Source Extraction based on Independent Vector Extraction

Thomas Haubner, Zbyněk Koldovský, Walter Kellermann

We describe a joint acoustic echo cancellation (AEC) and blind source extraction (BSE) approach for multi-microphone acoustic frontends. The proposed algorithm blindly estimates AE…

eess.AS2020

Auxiliary Function-Based Algorithm for Blind Extraction of a Moving Speaker

Jakub Janský, Zbyněk Koldovský, Jiří Málek +2

Recently, Constant Separating Vector (CSV) mixing model has been proposed for the Blind Source Extraction (BSE) of moving sources. In this paper, we experimentally verify the appli…

eess.SP2019

Algorithm for Independent Vector Extraction Based on Semi-Time-Variant Mixing Model

Zbyněk Koldovský, Václav Kautský, Tomáš Kounovský +1

A new algorithm for dynamic independent vector extraction is proposed. It is based on the mixing model where mixing parameters related to the source-of-interest (SOI) are time-vari…