A PNLMS Algorithm With Individual Activation Factors

Souza, Francisco das Chagas de; Tobias, Orlando J.; Seara, Rui; Morgan, D.R.

doi:10.1109/tsp.2009.2038420

Cited by 74 publications

(51 citation statements)

References 16 publications

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“…(i) Plant h 1 characterized by a length-100 coefficient vector with only 4 nonzero coefficients, in a similar way as one of the plants from [12]. Table 4 Summary of the V À ℓ 0 NC algorithm.…”

Section: Numerical Simulationsmentioning

confidence: 99%

“…This is the case in adaptive filtering applications, in which adaptive algorithms are used to iteratively identify the impulse response of a given system. In this context, a research topic that has been attracting much attention in the last decades is the development of adaptive filtering algorithms taking advantage of sparsity in order to outperform the classical adaptive algorithms [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…The main idea behind these algorithms is to assign distinct adaptation gains to each filter coefficient aiming to speed up the convergence by allocating larger gains to the most significant coefficients. One of the first algorithms using such a strategy has been the proportionate normalized leastmean-square (PNLMS) [5], which has inspired the development of several other proportionate-type algorithms with Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/sigpro improved performance [6][7][8][9][10][11][12][13]. More recently, a new class of norm-based adaptive algorithms has gained importance in the context of sparse system identification [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Norm-constrained adaptive algorithms for sparse system identification based on projections onto intersections of hyperplanes

2016

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Section: Numerical Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Norm-constrained adaptive algorithms for sparse system identification based on projections onto intersections of hyperplanes

2016

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“…The filtered-x version of the IPNLMS is called Fx-IPNLMS algorithm and it was introduced by the authors in [23]. Some successful applications of the proportionated adaptive filters include system identification [24], acoustic echo cancellation (AEC) [21], ANC [23], as well as AE [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes

Fúster

Diego

Azpicueta-Ruiz

et al. 2016

IEEE/ACM Trans. Audio Speech Lang. Process.

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Abstract-Room equalization has become essential for sound reproduction systems to provide the listener with the desired acoustical sensation. Recently, adaptive filters have been proposed as an effective tool in the core of these systems. In this context, this paper introduces different novel schemes based on the combination of adaptive filters idea: a versatile and flexible approach that permits obtaining adaptive schemes combining the capabilities of several independent adaptive filters.In this way, we have investigated the advantages of a scheme called combination of block-based adaptive filters which allows a blockwise combination splitting the adaptive filters into nonoverlapping blocks. This idea was previously applied to the plant identification problem, but has to be properly modified to obtain a suitable behavior in the equalization application. Moreover, we propose a scheme with the aim of further improving the equalization performance using the a priori knowledge of the energy distribution of the optimal inverse filter, where the block filters are chosen to fit with the coefficients energy distribution. Furthermore, the biased block-based filter is also introduced as a particular case of the combination scheme, especially suited for low signal-to-noise ratios (SNRs) or sparse scenarios. Although the combined schemes can be employed with any kind of adaptive filter, we employ the filtered-x improved proportionate normalized least mean square (Fx-IPNLMS) algorithm as basis of the proposed algorithms, allowing to introduce a novel combination scheme based on partitioned block schemes where different blocks of the adaptive filter use different parameter settings. Several experiments are included to evaluate the proposed algorithms in terms of convergence speed and steady-state behavior for different degrees of sparseness and SNRs.

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“…Some successful applications of the proportionated adaptive filters include system identification [15], acoustic echo cancellation [14], ANC [16], as well as AE [17].…”

Section: Proportionated Lms Algorithmsmentioning

confidence: 99%

Linear and nonlinear room compensation of audio rendering systems

Criado¹

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Common audio systems are designed with the intent of creating real and immersive scenarios that allow the user to experience a particular acoustic sensation that does not depend on the room he is perceiving the sound. However, acoustic devices and multichannel rendering systems working inside a room, can impair the global audio effect and thus the 3D spatial sound.In order to preserve the spatial sound characteristics of multichannel rendering techniques, adaptive filtering schemes are presented in this dissertation to compensate these electroacoustic effects and to achieve the immersive sensation of the desired acoustic system. Adaptive filtering offers a solution to the room equalization problem that is doubly interesting. First of all, it iteratively solves the room inversion problem, which can become computationally complex to obtain when direct methods are used. Secondly, the use of adaptive filters allows to follow the time-varying room conditions.In this regard, adaptive equalization (AE) filters try to cancel the echoes due to the room effects. In this work, we consider this problem and propose effective and robust linear schemes to solve this equalization problem by using adaptive filters. To do this, different adaptive filtering schemes are introduced in the AE context. These filtering schemes are based on three strategies previously introduced in the literature: the convex combination of filters, the biasing of the filter weights and the block-based filtering. More specifically, and motivated by the sparse nature of the acoustic impulse response and its corresponding optimal inverse filter, we introduce different adaptive equalization algorithms.In addition, since audio immersive systems usually require the use of multiple transducers, the multichannel adaptive equalization problem should be also taken into account when new single-channel approaches are presented, in the sense that they can be straightforwardly extended to the ii Abstract multichannel case.On the other hand, when dealing with audio devices, consideration must be given to the nonlinearities of the system in order to properly equalize the electroacoustic system. For that purpose, we propose a novel nonlinear filtered-x approach to compensate both room reverberation and nonlinear distortion with memory caused by the amplifier and loudspeaker devices.Finally, it is important to validate the algorithms proposed in a realtime implementation. Thus, some initial research results demonstrate that an adaptive equalizer can be used to compensate room distortions. ResumenLos sistemas de audio actuales están diseñados con la idea de crear escenarios reales e inmersivos que permitan al usuario experimentar determinadas sensaciones acústicas que no dependan de la sala o situación donde se esté percibiendo el sonido. Sin embargo, los dispositivos acústicos y los sistemas multicanal funcionando dentro de salas, pueden perjudicar el efecto global sonoro y de esta forma, el sonido espacial 3D.Para poder preservar las características espaciales ...

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A PNLMS Algorithm With Individual Activation Factors

Cited by 74 publications

References 16 publications

Norm-constrained adaptive algorithms for sparse system identification based on projections onto intersections of hyperplanes

Norm-constrained adaptive algorithms for sparse system identification based on projections onto intersections of hyperplanes

Adaptive Filtered-x Algorithms for Room Equalization Based on Block-Based Combination Schemes

Linear and nonlinear room compensation of audio rendering systems

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