Nonlinear acoustic echo cancellation with fast converging memoryless preprocessor

Stenger, Alexander; Kellermann, Walter

doi:10.1109/icassp.2000.859082

Cited by 19 publications

(17 citation statements)

References 1 publication

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“…Different realizations of the Volterra filters have been presented in [5][6][7]. The nonlinear echo path has been modeled by a cascade of memoryless nonlinear preprocessor function followed by FIR adaptive filter in [8]. The use of a nonlinear transformation based on the raised cosine function for reducing the nonlinear echo components has been proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear acoustic echo control using an accelerometer

Gupta

Suppappola²,

Spanias

2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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A typical echo canceller uses an FIR adaptive filter to estimate the impulse response of the near-end echo path. However nonlinear echo components due to the loudspeaker and driving amplifier are not captured by such an arrangement.We propose a novel scheme for nonlinear acoustic echo cancellation where an accelerometer sensor captures loudspeaker vibration and this sensor signal is used along with the error signal to adapt the adaptive filter coefficients. The accelerometer sensor is used in lieu of explicit nonlinear modeling in the echo cancelling loop and hence it is compatible with typical NLMS and RLS echo cancellation algorithms. Experiments with an accelerometer mounted on the magnet of a hands-free kit show an echo reduction improvement by as much as 15 dB in situations of nonlinear loudspeaker distortion.

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Section: Introductionmentioning

confidence: 99%

“…Several approaches have been used to cancel the nonlinear echo [1][2][3][4][5][6][7][8][9][10]. One approach is nonlinear preprocessing of the loudspeaker signal.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear acoustic echo control using an accelerometer

Gupta

Suppappola²,

Spanias

2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…Obviously, this model with one free parameter cannot be adapted to an arbitrary shape of various nonlinear distortions. In [4], the cascaded stages have been reduced to two, leading to a low-complexity echo canceller. But this method is just suitable for the ideal hard-clipping distortion situation, which also limits the AEC performance.…”

Section: Introductionmentioning

confidence: 99%

“…A nonlinear echo canceller, which consists of a nonlinear transform implementing a variable saturation curve and an adaptive finite impulse response (FIR) filter, has been attempted in [3], [4]. In particular, a three-stage cascade structure is employed in [3], Manuscript which has, however, only one adaptable parameter, namely, the maximum value of the saturation curve, leaving the shape of the saturation curve non-adjustable.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Acoustic Echo Canceller Using Sigmoid Transform in Conjunction With RLS Algorithm

Zhu

2008

IEEE Trans. Circuits Syst. II

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Nonlinearity of amplifiers and/or loudspeakers gives rise to nonlinear echo in acoustic systems, which seriously degrades the performance of speech and audio communications. Many nonlinear acoustic echo cancellation (AEC) methods have been proposed. In this paper, a simple yet efficient nonlinear echo cancellation scheme is presented by using an adaptable sigmoid function in conjunction with a conventional transversal adaptive filter. The new scheme uses the least mean square (LMS) algorithm to update the parameters of sigmoid function and the recursive least square (RLS) algorithm to determine the coefficient vector of the transversal filter. The proposed AEC is proved to be convergent under some mild assumptions. Computer simulations show that the proposed scheme gives a superior echo cancellation performance over the well known Volterra filter approach when the echo path suffers from the saturation-type nonlinear distortion. More importantly, the new AEC has a much lower computational complexity than the Volterra-filter-based method.

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“…A linear prediction error filter is good for orthogonalization. However, it requires some time delay, and cannot be applied to some applications, such as echo cancellers [11].…”

Section: Introductionmentioning

confidence: 99%

A lattice predictor based adaptive volterra filter and its convergence property analysis

Nakayama

Hirano

Kashimoto

The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04.

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×ØÖ Ø-This paper proposes a lattice predictor based adaptive Volterra filter (Lattice-AVF), and its convergence property is analyzed. In the adaptive FIR Volterra filter (AVF), the eigen value spread of a correlation matrix is extremely amplified, and its convergence is very slow for gradient methods. A lattice predictor is employed for whitening the input signal. For stationary colored input signals, the Lattice-AVF can provide a fast convergence and the well reduced residual error. Its convergence is highly dependent on a time constant, used in updating the reflection coefficients. A very large time constant is required. In the case of nonstationary colored input signal, the eigen value spread after the Volterra polynomial is not so highly amplified. This means fast convergence will be expected, and effects of the whitening will be small. These properties are analyzed. A problem of asynchronous updating the reflection coefficients and the filter coefficients observed in linear lattice predictor based adaptive filters, is also observed in the Lattice-AVF.

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Nonlinear acoustic echo cancellation with fast converging memoryless preprocessor

Cited by 19 publications

References 1 publication

Nonlinear acoustic echo control using an accelerometer

Nonlinear acoustic echo control using an accelerometer

A Nonlinear Acoustic Echo Canceller Using Sigmoid Transform in Conjunction With RLS Algorithm

A lattice predictor based adaptive volterra filter and its convergence property analysis

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