Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Herbert Buchner"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Based on a recently presented generic broadband blind source separation (BSS) algorithm for convolutive mixtures, we propose in this paper a novel algorithm combining advantages of broadband algorithms with the computational efficiency of narrowband
Externí odkaz:
https://doaj.org/article/b878e103d5994c4cb8d55c8eec308f2b
Publikováno v:
2019 22th International Conference on Information Fusion (FUSION).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3c8c7a49b2e5ee083c6f6f8241c1101
https://doi.org/10.23919/fusion43075.2019.9011190
https://doi.org/10.23919/fusion43075.2019.9011190
Publikováno v:
ICASSP
In this paper we focus on Bayesian blind and semi-blind adaptive signal processing based on a broadband MIMO FIR model (e.g., for blind source separation (BSS) and blind system identification (BSI)). Specifically, we study in this paper a framework a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f841e1890495484e6afea4718ed1d827
https://doi.org/10.1109/icassp.2019.8682694
https://doi.org/10.1109/icassp.2019.8682694
Publikováno v:
EMBC
The electromyogram (EMG) is an important tool for assessing the activity of a muscle and thus also a valuable measure for the diagnosis and control of respiratory support. In this article we propose convolutive blind source separation (BSS) as an eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4121fa4b9676097c1e28fa053aaead9
https://pubmed.ncbi.nlm.nih.gov/28269080
https://pubmed.ncbi.nlm.nih.gov/28269080
Publikováno v:
ICASSP
In this paper we introduce a novel class of efficient multichannel adaptive filtering algorithms for sparse FIR systems. By suitably integrating ideas from compressed sensing and adaptive filter theory, this class of algorithms allows to significantl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0e9f7ddca82293c455a920b52b7fe37
https://doi.org/10.1109/icassp.2017.7952879
https://doi.org/10.1109/icassp.2017.7952879
Publikováno v:
Multidimensional Systems and Signal Processing. 25:379-403
In this paper we discuss a novel technique to control the spatial distribution of sound level within a synthesized sound field. The problem is formulated by separating the sound field into regions with high acoustic level, so-called bright regions, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35d354b5e92c0b8e63e3743b0591f8c9
https://doi.org/10.1007/s11045-013-0261-4
https://doi.org/10.1007/s11045-013-0261-4
Publikováno v:
IEEE Signal Processing Letters. 20:351-354
Acoustic echo suppression techniques for full-duplex communication in low-complexity systems are commonly known to introduce distortion to the desired signal (i.e., near-end speech). Moreover, most traditional echo control techniques typically requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dc3990e96661d5389ce88d75cbcb92e
https://doi.org/10.1109/lsp.2013.2247998
https://doi.org/10.1109/lsp.2013.2247998
Publikováno v:
Biomedical Engineering / Biomedizinische Technik. 62
Electromyography (EMG) has long been used for the assessment of muscle function and activity and has recently been applied to the control of medical ventilation. For this application, the EMG signal is usually recorded invasively by means of electrod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cdf2557268996c2dd1118a0e84c9828
https://doi.org/10.1515/bmt-2016-0092
https://doi.org/10.1515/bmt-2016-0092
Publikováno v:
ICASSP
In many teleconferencing applications using modern laptop and net-book devices it is common to encounter annoying keyboard typing noise. In this paper we propose an acoustic keystroke transient canceler for speech communication terminals as a novel b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::942ff38c67e2503575d53386e0ba1f16
https://doi.org/10.1109/icassp.2016.7471748
https://doi.org/10.1109/icassp.2016.7471748
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 19:1490-1503
In this paper, we show that minimization of the statistical dependence using broadband independent component analysis (ICA) can be successfully exploited for acoustic source localization. As the ICA signal model inherently accounts for the presence o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047a32d688fab892e3ec9f190023af9d
https://doi.org/10.1109/tasl.2010.2092765
https://doi.org/10.1109/tasl.2010.2092765