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一种用于快速实时脉冲形状识别的简化相关指数。

A Simplified Correlation Index for Fast Real-Time Pulse Shape Recognition.

机构信息

Multidisciplinary Laboratory, The Abdus Salam International Centre for Theoretical Physics (ICTP), 34151 Trieste, Italy.

Dipartimento di Ingegneria e Architettura, Università degli Studi di Trieste (UNITS), 34127 Trieste, Italy.

出版信息

Sensors (Basel). 2022 Oct 11;22(20):7697. doi: 10.3390/s22207697.

Abstract

A simplified correlation index is proposed to be used in real-time pulse shape recognition systems. This index is similar to the classic Pearson's correlation coefficient, but it can be efficiently implemented in FPGA devices with far fewer logic resources and excellent performance. Numerical simulations with synthetic data and comparisons with the Pearson's correlation show the suitability of the proposed index in applications such as the discrimination and counting of pulses with a predefined shape. Superior performance is evident in signal-to-noise ratio scenarios close to unity. FPGA implementation of Person's method and the proposed correlation index have been successfully tested and the main results are summarized.

摘要

提出了一种简化的相关指数,用于实时脉冲形状识别系统。该指数类似于经典的皮尔逊相关系数,但可以在 FPGA 设备中高效实现,所需逻辑资源更少,性能出色。通过使用合成数据进行数值模拟,并与皮尔逊相关系数进行比较,表明该指数在诸如具有预定义形状的脉冲的区分和计数等应用中是适用的。在接近 1 的信噪比情况下,性能优势明显。已经成功测试了 FPGA 实现的皮尔逊方法和提出的相关指数,并总结了主要结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5f3/9607046/5b00bdabd730/sensors-22-07697-g001.jpg

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