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Advances in adaptive filtering theory and applications to acoustic and speech signal processing

This special issue is to honor Eberhard Hänsler’s achievements in adaptive systems that made many of today’s communication equipment possible.

Edited by: Markus Rupp, Walter Kellermann, Abdelhak Zoubir, Gerhard Schmidt

  1. Research

    Filtered-X Least Mean Fourth (FXLMF) and Leaky FXLMF adaptive algorithms

    Adaptive filtering algorithms promise an improvement of the active noise control (ANC) problem encountered in many scenarios. Just to name a few, the Filtered-X Least Mean Square (FXLMS) algorithm, the Leaky F...

    Ali M. Al Omour, Abdelmalek Zidouri, Naveed Iqbal and Azzedine Zerguine

    EURASIP Journal on Advances in Signal Processing 2016 2016:39

    Published on: 1 April 2016

  2. Research

    Signal processing techniques for seat belt microphone arrays

    Microphones integrated on a seat belt are an interesting alternative to conventional sensor positions used for hands-free telephony or speech dialog systems in automobile environments. In the setup presented i...

    Vasudev Kandade Rajan, Mohamed Krini, Klaus Rodemer and Gerhard Schmidt

    EURASIP Journal on Advances in Signal Processing 2016 2016:35

    Published on: 15 March 2016

  3. Research

    Robust and adaptive diffusion-based classification in distributed networks

    Distributed adaptive signal processing and communication networking are rapidly advancing research areas which enable new and powerful signal processing tasks, e.g., distributed speech enhancement in adverse e...

    Patricia Binder, Michael Muma and Abdelhak M. Zoubir

    EURASIP Journal on Advances in Signal Processing 2016 2016:34

    Published on: 11 March 2016

  4. Research

    Distributed Gram-Schmidt orthogonalization with simultaneous elements refinement

    We present a novel distributed QR factorization algorithm for orthogonalizing a set of vectors in a decentralized wireless sensor network. The algorithm is based on the classical Gram-Schmidt orthogonalization...

    Ondrej Slučiak, Hana Straková, Markus Rupp and Wilfried Gansterer

    EURASIP Journal on Advances in Signal Processing 2016 2016:25

    Published on: 24 February 2016

  5. Research

    Adaptive techniques in advanced 4G cellular wireless networks

    The capacity of 4G cellular wireless networks like Long Term Evolution Advanced can be increased by larger bandwidth for multicarrier operation, higher number of antennas for more spatial multiplexing, tighter...

    Birger Hätty, Hans-Joachim Dreßler, Hans Kröner, Gottfried Schnabl, Michael Schopp and Armin Splett

    EURASIP Journal on Advances in Signal Processing 2016 2016:19

    Published on: 16 February 2016

  6. Review

    Adaptive filters: stable but divergent

    The pros and cons of a quadratic error measure in the context of various applications have often been discussed. In this tutorial, we argue that it is not only a suboptimal but definitely the wrong choice when...

    Markus Rupp

    EURASIP Journal on Advances in Signal Processing 2015 2015:104

    Published on: 3 December 2015

  7. Research

    A Bayesian network approach to linear and nonlinear acoustic echo cancellation

    This article provides a general Bayesian approach to the tasks of linear and nonlinear acoustic echo cancellation (AEC). We introduce a state-space model with latent state vector modeling all relevant informat...

    Christian Huemmer, Roland Maas, Christian Hofmann and Walter Kellermann

    EURASIP Journal on Advances in Signal Processing 2015 2015:98

    Published on: 25 November 2015

  8. Review

    An overview on optimized NLMS algorithms for acoustic echo cancellation

    Acoustic echo cancellation represents one of the most challenging system identification problems. The most used adaptive filter in this application is the popular normalized least mean square (NLMS) algorithm,...

    Constantin Paleologu, Silviu Ciochină, Jacob Benesty and Steven L. Grant

    EURASIP Journal on Advances in Signal Processing 2015 2015:97

    Published on: 19 November 2015

  9. Research

    Features for voice activity detection: a comparative analysis

    In many speech signal processing applications, voice activity detection (VAD) plays an essential role for separating an audio stream into time intervals that contain speech activity and time intervals where sp...

    Simon Graf, Tobias Herbig, Markus Buck and Gerhard Schmidt

    EURASIP Journal on Advances in Signal Processing 2015 2015:91

    Published on: 11 November 2015