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Optimal Directional Pattern Design Utilizing Arbitrary Microphone Arrays: A Continuous-Wave Approach

机译:采用任意麦克风阵列的最佳方向图案设计:一种连续波方法

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A frequency-domain method is proposed for designing directional patterns from arbitrary microphone arrays employing the complex Fourier series. A target directional pattern is defined and an optimal set of sensor weights is determined in a least-squares sense, adopting a continuous-wave approach. It is based on discrete measurements with high spatial sampling ratio, which mitigates the potential aliasing affect. Fourier analysis is a common method for audio signal decomposition; however in this approach a set of criteria is employed to define the optimal number of Fourier coefficients and microphones for the decomposition of the microphone array signals at each frequency band. Furthermore, the low-frequency robustness is increased by smoothing the target patterns at those bands. The performance of the algorithm is assessed by calculating the directivity index and the sensitivity. Applications, such as synthesizing virtual microphones, beamforming, binaural and loudspeaker rendering are presented.
机译:建议用于从采用复杂傅里叶系列的任意麦克风阵列的方向图案设计频域方法。定义了目标方向图案,并且在最小二乘意义上确定了最佳的传感器权重,采用连续波方法。它基于具有高空间采样率的离散测量,这减轻了潜在的混叠影响。傅立叶分析是音频信号分解的常用方法;然而,在该方法中,采用一组标准来定义每个频带处的麦克风阵列信号的分解的最佳数量的傅里叶系数和麦克风。此外,通过在这些带中平滑目标图案来增加低频稳健性。通过计算方向性指数和灵敏度来评估算法的性能。呈现了合成虚拟麦克风,波束成形,双耳和扬声器渲染的应用。

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