Equalizer of Amplitude-Frequency Response of Acoustic Channels and its Adaptive Filter Based on Recursive Least Squares Algorithm with Diagonalized Correlation Matrix

V. Djigan
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Abstract

The paper presents an equalizer of the amplitude-frequency response of the acoustic wave propagation channels in the rooms. The considered equalizer uses the so-called modified architecture based on the adaptive filter with the input signal filtering, which weights are calculated using the Recursive Least Squares (RLS) algorithm. The equalizer of the acoustic channels amplitude-frequency response usually requires the usage of the adaptive filters with the large number of weighs that means the large computational complexity of the adaptive filter. The adaptive filters based on the fast RLS algorithms are efficient in the terms of their complexity but often unstable if the number of adaptive filter weights is large. Therefore, the algorithms are poorly suited for usage in the amplitude-frequency response equalizers of the acoustic channels. Adaptive filters based on the RLS algorithm, which use the Matrix Inversion Lemma (MIL), are stable, but computationally complex. The equalizer presented in this paper uses a simplified adaptive filter based on the MIL RLS algorithm with a diagonalized correlation matrix of the filter input signal. In addition, in the filter, each of the square submatrices on the simplified correlation matrix diagonal is inverted using a computationally efficient version of the MIL that takes into account the symmetrical structure of the mentioned submatrices relatively their main diagonals. Computer simulation confirms the performance of the proposed equalizer and demonstrates its efficiency comparing to the unsimplified equalizer. The demo includes the graphs of the equalizer steady-state amplitude-frequency response, the acoustic channel amplitude-frequency responses before and after the equalization, and the power spectral density plots of the equalizer input signal and the signals passed through the equalizer and the acoustic medium. The equalizer can be used in the equipment for the high-quality voice and music reproduction in the conditions of the limited computing resources for the implementation of the equalizer.
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基于对角化相关矩阵递推最小二乘算法的声道幅频响应均衡器及其自适应滤波
本文提出了一种室内声波传播通道幅频响应均衡器。所考虑的均衡器使用了所谓的基于自适应滤波器和输入信号滤波的改进架构,其权重使用递归最小二乘(RLS)算法计算。声道幅频响应均衡器通常需要使用权重较大的自适应滤波器,这意味着自适应滤波器的计算复杂度较大。基于快速RLS算法的自适应滤波器在复杂度方面是有效的,但在自适应滤波器权重较大时往往不稳定。因此,这些算法不太适合用于声道的幅频响应均衡器。基于RLS算法的自适应滤波器使用矩阵反演引理(MIL),稳定,但计算量大。本文提出的均衡器采用了一种基于MIL - RLS算法的简化自适应滤波器,滤波器输入信号具有对角化的相关矩阵。此外,在滤波器中,简化相关矩阵对角线上的每个方子矩阵都使用MIL的计算效率版本进行反转,该版本考虑了所述子矩阵相对于其主要对角线的对称结构。计算机仿真验证了该均衡器的性能,并与未简化的均衡器进行了比较。演示包括均衡器稳态幅频响应图、均衡前后声通道幅频响应图、均衡器输入信号和经过均衡器及声介质的信号的功率谱密度图。该均衡器可用于在计算资源有限的条件下实现高质量的语音和音乐再现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radioelektronika, Nanosistemy, Informacionnye Tehnologii
Radioelektronika, Nanosistemy, Informacionnye Tehnologii Materials Science-Materials Science (miscellaneous)
CiteScore
0.60
自引率
0.00%
发文量
38
期刊介绍: Journal “Radioelectronics. Nanosystems. Information Technologies” (abbr RENSIT) publishes original articles, reviews and brief reports, not previously published, on topical problems in radioelectronics (including biomedical) and fundamentals of information, nano- and biotechnologies and adjacent areas of physics and mathematics. The authors of the journal are academicians, corresponding members and foreign members of the Russian Academy of Natural Sciences (RANS) and their colleagues, as well as other russian and foreign authors on the proposal of the members of RANS, which can be obtained by the author before sending articles to the editor or after its arrival on the recommendation of a member of the editorial board or another member of the RANS, who gave the opinion on the article at the request of the editior. The editors will accept articles in both Russian and English languages. Articles are internally peer reviewed (double-blind peer review) by members of the Editorial Board. Some articles undergo external review, if necessary. Designed for researchers, graduate students, physics students of senior courses and teachers. It turns out 2 times a year (that includes 2 rooms)
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