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A proposal for source separation of ground borne vibration signals and its FPGA implementation

机译:地面传播振动信号源分离的建议及其FPGA实现

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摘要

The source separation of low level ground borne vibration signals and its FPGA implementation is an exigent problem. This can be viewed as a complex version of the classical source separation problem, the `cocktail party problem'. An extension of the basic Independent Component Analysis (ICA), a Blind Source Separation method is proposed in this particular case, as the damping of the ground borne vibration signals is significant. The separation of a set of signals from a set of observed signal mixtures, without the information about the source signals or the mixing process is known as Blind Source Separation (BSS). Field Programmable Gate Arrays (FPGA) are increasingly used various fields from audio to wireless communication. A suggested model for source separation of ground borne vibration on FPGA is discussed in this paper.
机译:低电平地面振动信号的信号源分离及其FPGA实现是一个迫在眉睫的问题。这可以看作是经典来源分离问题(鸡尾酒会问题)的复杂版本。在这种特殊情况下,由于对地面振动信号的阻尼非常重要,因此提出了基本独立分量分析(ICA)的扩展,即盲源分离方法。在没有有关源信号或混合过程信息的情况下,从一组观察到的信号混合中分离出一组信号称为盲源分离(BSS)。现场可编程门阵列(FPGA)越来越多地用于从音频到无线通信的各种领域。本文讨论了在FPGA上建立地震动的源分离的建议模型。

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