Phase equalization using a hybrid cascade of causal and noncausal IIR allpass filters

IF 2.9 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Yuzhen Lyu, Ziyun Liu, Keyu Pan, Yong Shen
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引用次数: 0

Abstract

The perceptibility of audio signal phase and the need for coordination among multiple loudspeakers require the design of infinite impulse response (IIR) allpass filters for phase equalization. This paper proposes a generalized method for automatically designing IIR allpass filters using a hybrid cascade of causal and noncausal low-order IIR allpass filters. Cascading noncausal allpass filters can produce negative group delay, providing additional flexibility in shaping the group delay of the IIR allpass filter. The proposed method offers more relaxed constraints, making it better suited for designing IIR allpass filters with complex phase responses. Two IIR allpass filters are designed to equalize the phase responses of the woofer and tweeter, and their performance is compared with two existing design methods. The design results demonstrate that the proposed design method effectively equalizes the phase, minimizes filter order, and reduces computational cost.
相位均衡使用因果和非因果IIR全通滤波器的混合级联
音频信号相位的可感知性和多个扬声器之间的协调需要设计无限脉冲响应(IIR)全通滤波器进行相位均衡。本文提出了一种利用因果和非因果低阶IIR全通滤波器混合级联自动设计IIR全通滤波器的广义方法。级联非因果全通滤波器可以产生负的组延迟,为塑造IIR全通滤波器的组延迟提供了额外的灵活性。该方法提供了更宽松的约束,使其更适合设计具有复杂相位响应的IIR全通滤波器。设计了两个IIR全通滤波器来平衡低音炮和高音的相位响应,并与现有的两种设计方法进行了性能比较。设计结果表明,所提出的设计方法能有效地实现相位均衡,减少滤波器阶数,降低计算成本。
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来源期刊
Digital Signal Processing
Digital Signal Processing 工程技术-工程:电子与电气
CiteScore
5.30
自引率
17.20%
发文量
435
审稿时长
66 days
期刊介绍: Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,
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