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Multichannel signal correlation analyzing method and system

A correlation analysis, multi-channel technology, applied in multi-channel programming, resource allocation, complex mathematical operations, etc., can solve problems such as time-consuming, low solution efficiency, and large scale of multi-channel signal data, saving time , the effect of a large number of cores and a small cache

Inactive Publication Date: 2017-05-10
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0004] However, in the process of actually solving KT by programming, the relevant programs mainly use simple one-dimensional arrays in the data structure, do not require complex logic judgments, and are easy to parallel programs, and the samples of multi-channel signal data The data scale is generally very large, so in the process of solving KT by CPU, the solution efficiency is very low and it takes a lot of time

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  • Multichannel signal correlation analyzing method and system
  • Multichannel signal correlation analyzing method and system

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[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] The embodiment of the present invention discloses a multi-channel signal correlation analysis method, see figure 1 As shown, the method includes:

[0042] Step S11: Save the acquired multi-channel signal data to the internal memory of the GPU (GPU, ie, Graphics Processing Unit, graphics processing unit).

[0043] Step S12: Extract multi-channel signal data from the internal memory of the GPU.

[0044] Step S13: Using the parallel computing capability ...

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Abstract

The invention discloses a multichannel signal correlation analyzing method and system. The method comprises the following steps: storing acquired multichannel signal data to an internal memory of a GPU (Graphics Processing Unit); extracting the multichannel signal data from the internal memory of the GPU, parallel solving KT (Kendall's tau) between the signal data of every two channels of the multichannel signal data by utilizing the parallel computing capacity of the GPU, and obtaining the KT corresponding to the multichannel signal data. According to the multichannel signal correlation analyzing method and the multichannel signal correlation analyzing system, the KT for testing the quality of the multichannel signal data is solved on the basis of the GPU; the GPU is parallel, so that the method and the system have the characteristics of little cache, numerous nuclear numbers, simple digital logical computing unit, applicability to mass data processing and the like; therefore, the solving efficiency is improved during an actual process of solving the KT by utilizing the GPU, and a large amount of time is saved.

Description

technical field [0001] The invention relates to the technical field of signal analysis, in particular to a multi-channel signal correlation analysis method and system. Background technique [0002] Correlation analysis originated in the pioneering period of statistics in the 1900s, and is still a research hotspot in the field of statistical signal processing. The so-called correlation is an index that characterizes the strength of the statistical relationship between two random variables or two signals. If one random variable increases (decreases) with the increase (decrease) of the other random variable, then the two random variables satisfy a positive correlation; Large (decrease) and decrease (large), then the two random variables satisfy a negative correlation. In biomedicine, the correlation analysis of multi-channel signals (brain wave, electrocardiogram, etc.) is very important, but in practical applications, the collected data will inevitably be interfered by noise...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06F17/15
CPCG06F9/5044G06F17/15
Inventor 谢卫云徐维超李保俊马如豹
Owner GUANGDONG UNIV OF TECH
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