Room Frequency Response Equalization Using Modified X-Filtered Adaptive Algorithms

V. Djigan
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引用次数: 1

Abstract

This article presents a technology of the acoustic frequency response equalization. It is based on the usage of the modified x-filtered adaptive algorithms in the equalizers. Comparing to the traditional x-filtered algorithms, the modified ones allow to accelerate the equalizer convergence if the computationally simple LMS or the NLMS adaptive algorithms based on the gradient search strategy are used for the equalizer weights computation. Besides, the modification allows to use the computationally complex but simultaneously efficient RLS adaptive algorithms in the x-filtered mode because the algorithms cannot be used in the traditional x-filtered mode. The proposed equalizer architectures and the computational procedures of the traditional and modified adaptive filtering algorithms are presented. Simulation demonstrates a better performance of the modified algorithms comparing to the traditional ones in the following terms: the equalized frequency response ripple value, the proximity of the PSD curves of the undistorted speech signal and the signal passed through the equalizer and acoustic medium, the initial duration of the transient response of the error signal and the response steady-state value.
使用改进的x滤波自适应算法实现房间频响均衡
提出了一种声频响应均衡技术。它是基于在均衡器中使用改进的x滤波自适应算法。与传统的x滤波算法相比,改进后的算法采用计算简单的LMS或基于梯度搜索策略的NLMS自适应算法进行均衡器权值计算,可以加快均衡器的收敛速度。此外,由于传统的RLS自适应算法无法在x滤波模式下使用,因此该改进允许在x滤波模式下使用计算复杂但同时高效的RLS自适应算法。提出了均衡器结构和传统自适应滤波算法的计算过程。仿真结果表明,改进后的算法在均衡的频响纹波值、未失真语音信号与经过均衡器和声介质的信号的PSD曲线的接近度、误差信号瞬态响应的初始持续时间和响应稳态值等方面均优于传统算法。
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