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Audio signal separation via a combination procedure of time-reversal and deconvolution process

机译:通过时间反转和去卷积处理的组合过程进行音频信号分离

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Time-reversal method (TRM) is based on principle of reciprocity of sound by propagating of a reversal signal in time series to compensate distortion due to path effect in propagation and to focus the signal at the original source location. In recent years, the technique has been applied in optics, ultrasound and underwater acoustic communication. In the present study, a procedure for audio signal separation is developed by applying time-reversal and deconvolution process. The procedure separates sources from audio signal in time domain. The advantages of this procedure are to separate a specific source from a combination signal of multiple sources and to reduce reverberation effectively. Finally, a deconvolution process of finding impulse response function (IRF) is developed where single value decomposition (SVD) and Tikhonov regularization process are used to solve ill-conditioned and singular linear systems. In addition, the effect of signal-to-noise ratio (SNR) and number of array sensors are discussed in details.
机译:时间反转方法(TRM)基于声音的互易性原理,通过在时间序列中传播反转信号来补偿由于传播中的路径效应引起的失真并将信号聚焦在原始源位置。近年来,该技术已应用于光学,超声和水下声学通信中。在本研究中,通过应用时间反转和反卷积过程,开发了一种音频信号分离程序。该过程在时域中将源与音频信号分开。此过程的优点是将特定源与多个源的组合信号分开,并有效减少混响。最后,开发了一种寻找脉冲响应函数(IRF)的去卷积过程,其中使用单值分解(SVD)和Tikhonov正则化过程来求解病态和奇异线性系统。此外,详细讨论了信噪比(SNR)和阵列传感器数量的影响。

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