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The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation

Christian Huemmer, Christian Hofmann, Roland Maas, Andreas Schwarz, Walter Kellermann
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
In this article, we introduce a novel approach for nonlinear acoustic echo cancellation based on a combination of particle filtering and evolutionary strategies.  ...  While the classical particle-filter approach is unsuitable for system identification with large search spaces, we introduce a modified particle filter to select elitist particles based on long-term fitness  ...  for nonlinear acoustic echo cancellation (NL-AEC).  ... 
doi:10.1109/icassp.2014.6853810 dblp:conf/icassp/HuemmerHMSK14 fatcat:fmsuv2wlhzar3nxqmlscvpwube

Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies [article]

Christian Huemmer, Christian Hofmann, Roland Maas, Walter Kellermann
2016 arXiv   pre-print
Second, the problem of nonlinear acoustic echo cancellation is addressed in a simulated scenario with speech as input signal: By using long-term fitness measures, we highlight the efficacy of the well-generalizing  ...  In this article, we present the elitist particle filter based on evolutionary strategies (EPFES) as an efficient approach for nonlinear system identification.  ...  Nonlinear Acoustic Echo Cancellation (AEC) In this section, we consider the scenario for nonlinear AEC shown in Fig. 7 as a real-world example for the identification of a slowly time-varying nonlinear  ... 
arXiv:1604.04198v4 fatcat:mbig77p5cbgfvlffxyuzdokfqu

A Bayesian network approach to linear and nonlinear acoustic echo cancellation

Christian Huemmer, Roland Maas, Christian Hofmann, Walter Kellermann
2015 EURASIP Journal on Advances in Signal Processing  
This article provides a general Bayesian approach to the tasks of linear and nonlinear acoustic echo cancellation (AEC).  ...  Based on three cases for defining the state vector (to model a linear or nonlinear echo path) and its mathematical relation to the observation, it is shown that the normalized least mean square algorithm  ...  Introduction The problem of acoustic echo cancellation (AEC) is one of the earliest applications of adaptive filtering to acoustic signals and yet is still an active research topic [1, 2] .  ... 
doi:10.1186/s13634-015-0282-2 fatcat:dfg6lzu24fbmfiafpynpwhbci4