State-Space Frequency-Domain Adaptive Filtering for Nonlinear Acoustic Echo Cancellation

Malik, Sarmad Majeed; Enzner, Gerald

doi:10.1109/tasl.2012.2196512

Cited by 87 publications

(53 citation statements)

References 33 publications

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“…The spectral modification technique was used to remove the echo from the microphone signal. In 2012, a paper on State-Space Frequency-Domain Adaptive Filtering for Nonlinear Acoustic Echo Cancellation was presented by Sarmad Malik and Gerald Enzner [14].In this paper they have implemented adaptive acoustic echo cancellation in the presence of an unknown memoryless nonlinearity preceding the echo path. Result shows that the algorithm provides effective nonlinear echo cancellation in the presence of continuous double-talk, varying degree of nonlinear distortion, and changes in the echo path.…”

Section: Review On Acoustic Echo Cancellation Systemmentioning

confidence: 99%

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Gupta¹,

Gupta²,

Chandra³

2015

Advances in Intelligent Systems and Computing

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Abstract. In this paper a review on acoustic echo cancellation (AEC) systems based on linear AEC and nonlinear AEC are presented. The paper covers advancements in the previous research works related to the acoustic echo cancellation process. Here review is done based on adaptive algorithms used. Since in linear AEC systems, the non-linearity caused by loudspeakers, amplifier and low-quality enclosures are not taken into considerations. The implementation of linear AEC is based on the assumption of linearity. The performance of echo cancellation algorithms are degraded due to non-linearities in the acoustic path. Therefore non-linear AEC systems are evaluated and reviewed along with linear AEC.

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Section: Review On Acoustic Echo Cancellation Systemmentioning

confidence: 99%

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Gupta¹,

Gupta²,

Chandra³

2015

Advances in Intelligent Systems and Computing

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“…Recently, the Kalman filter has been introduced to control the adaptation of the adaptive filter in AEC, since its basic criterion follows the minimization of the system misalignment [4,[6][7][8][10][11][12]. The corresponding Kalman filter theory has been formulated for single-channel [6], multi-channel [7] and nonlinear echo cancelation [10].…”

Section: Introductionmentioning

confidence: 99%

“…The corresponding Kalman filter theory has been formulated for single-channel [6], multi-channel [7] and nonlinear echo cancelation [10]. Moreover, the Kalman filter is applied to the partitioned-block filter structure which is especially relevant in practice [16].…”

Section: Introductionmentioning

confidence: 99%

Robust Uncertainty Control of the Simplified Kalman Filter for Acoustic Echo Cancelation

Wu¹,

Wang²,

Guo³

et al. 2016

Circuits Syst Signal Process

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One of the main difficulties in acoustic echo cancelation (AEC) is the adaptation strategy of the adaptive filter in different situations. Recently, the Kalman filter theory has been introduced to accommodate for the adaptation control in AEC applications, due to its optimal performance in many system identification problems. In this paper, a frequency-domain simplified Kalman filter for partitioned-block-based AEC is studied. The contribution is twofold. First, the relationship between the Kalman filter and an optimal variable step-size algorithm is revealed, which contributes to the motivation of this paper. Second, the influence of system uncertainty on the performance of the Kalman filter is analyzed, and a new uncertainty control method is developed. Simulation results confirm the superiority of the proposed method to the conventional ones.

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“…The most important study of the Kalman filter in the context of echo cancellation, is due to G. Enzner and his co-authors [4], [5]- [7], [8]. Most of this work has been focusing on the development of an efficient frequency-domain Kalman filter that has the potential to outperform the classical frequency-domain adaptive filters.…”

mentioning

confidence: 99%

“…The idea was further extended in [6], where the near-end disturbance has been included in the estimation framework, thus resulting a robust state-space frequency-domain adaptive filter. Very recently, a similar approach has been applied to multichannel non-linear acoustic echo cancellation [8]. The motivation behind the frequency-domain approach is mainly related with complexity and convergence features.…”

mentioning

confidence: 99%

Study of the General Kalman Filter for Echo Cancellation

Paleologu

Benesty

Ciochină

2013

IEEE Trans. Audio Speech Lang. Process.

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Abstract-The Kalman filter is a very interesting signal processing tool, which is widely used in many practical applications. In this paper, we study the Kalman filter in the context of echo cancellation. The contribution of this work is threefold. First, we derive a different form of the Kalman filter by considering, at each iteration, a block of time samples instead of one time sample as it is the case in the conventional approach. Second, we show how this general Kalman filter (GKF) is connected with some of the most popular adaptive filters for echo cancellation, i.e., the normalized least-mean-square (NLMS) algorithm, the affine projection algorithm (APA) and its proportionate version (PAPA). Third, a simplified Kalman filter is developed in order to reduce the computational load of the GKF; this algorithm behaves like a variable step-size adaptive filter. Simulation results indicate the good performance of the proposed algorithms, which can be attractive choices for echo cancellation.Index Terms-Echo cancellation, Kalman filter, adaptive filters, recursive least-squares (RLS) algorithm, affine projection algorithm (APA), proportionate APA (PAPA), normalized least-mean-square (NLMS) algorithm.

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State-Space Frequency-Domain Adaptive Filtering for Nonlinear Acoustic Echo Cancellation

Cited by 87 publications

References 33 publications

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation

Robust Uncertainty Control of the Simplified Kalman Filter for Acoustic Echo Cancelation

Study of the General Kalman Filter for Echo Cancellation

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