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Signal analysis method and system based on acquisition and identification of noise panoramic distribution model

A signal analysis method and distribution model technology, applied in the field of signal analysis, can solve problems such as difficult analysis of complex signals

Pending Publication Date: 2022-06-24
CHENGDU PANOAI INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The main purpose of the present invention is to provide a signal analysis method based on acquiring and identifying the noise panorama distribution model, aiming at solving the technical problem that it is difficult to analyze complex signals under the condition of ultra-low signal-to-noise ratio in the prior art

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  • Signal analysis method and system based on acquisition and identification of noise panoramic distribution model
  • Signal analysis method and system based on acquisition and identification of noise panoramic distribution model
  • Signal analysis method and system based on acquisition and identification of noise panoramic distribution model

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Embodiment 1

[0068] A signal analysis method based on acquiring and identifying the noise panoramic distribution model, the flowchart of which is shown in the appendix of the specification. figure 1 , the method includes the following steps:

[0069] S1: In a rich conditional measurement environment, repeat the measurement of the reference sample and the test sample to obtain multiple measurement results; each of the measurement results includes a signal and a different noise profile;

[0070] In the technical field of signal acquisition and analysis, maintaining the consistency of external conditions during sample measurement is a conventional method to reduce noise fluctuations and form a good signal-to-noise ratio. Repeated sample measurements are also considered to reduce random errors. effective way. However, in the embodiment of the present invention, the consistent setting of external conditions is not involved, but repeated measurements of the reference sample and the test sample ...

Embodiment 2

[0111] A signal analysis system based on acquiring and identifying the noise panoramic distribution model, the schematic diagram of which is shown in the appendix of the specification. image 3 , the system includes a measurement module 1, a processing module 2, a training module 3 and an analysis module 4;

[0112] In a rich condition measurement environment, the measurement module 1 performs repeated measurements on the reference sample and the test sample, and obtains multiple measurement results respectively; wherein, each measurement result includes a signal and a different noise profile;

[0113] In the technical field of signal acquisition and analysis, maintaining the consistency of external conditions during sample measurement is a conventional method to reduce noise fluctuations and form a good signal-to-noise ratio. Repeated sample measurements are also considered to reduce random errors. effective way. However, in the embodiment of the present invention, th...

Embodiment 3

[0152] A signal analysis method based on acquiring and identifying a noise panoramic distribution model, the method comprising the following steps:

[0153] S1: In a rich conditional measurement environment, repeated measurements are performed on a variety of known samples to obtain multiple measurement results; each measurement result includes a signal and a different noise profile;

[0154] In the technical field of signal acquisition and analysis, maintaining the consistency of external conditions during sample measurement is a conventional method to reduce noise fluctuations and form a good signal-to-noise ratio. Repeated sample measurements are also considered to reduce random errors. effective way. However, in the embodiment of the present invention, the consistent setting of external conditions is not involved, but repeated measurements of multiple known samples are carried out in a rich condition measurement environment. Among them, rich conditions refer to: ric...

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Abstract

The invention belongs to the technical field of signal analysis, and particularly relates to a signal analysis method and system based on obtaining and identifying a noise panoramic distribution model, and the method comprises the following steps: carrying out the repeated measurement of a reference sample and a test sample in a rich condition measurement environment, and obtaining a plurality of measurement results; processing the measurement results of the reference sample and the test sample to respectively form training data of the reference sample and the test sample; based on the training data of the reference sample and the test sample, enabling the model to identify the signal and the noise from the measurement result, and distinguishing the reference sample from the test sample; and inputting the measurement result of the to-be-identified sample into the trained artificial intelligence model, wherein the output result is the specific type of the to-be-identified sample. Different from a noise processing scheme in the prior art, the invention provides a signal analysis method based on obtaining and identifying the noise panoramic distribution model from completely different technical angles so as to solve the noise reduction problem which is difficult to process in the prior art.

Description

technical field [0001] The invention belongs to the technical field of signal analysis, and in particular relates to a signal analysis method and system based on acquiring and identifying a noise panoramic distribution model. Background technique [0002] In response to applications and demands in many practical fields, a wide variety of sample measurement methods exist in the prior art, such as ECG signals and EEG signals in the field of physiological detection, and spectral signals in the field of substance detection. However, due to the multiple influences of the measurement environment, equipment accuracy, and the properties of the sample itself, no matter what sample measurement method is chosen, the measurement result must be mixed data mixed with signal and noise. For the measurement results with low signal-to-noise ratio, it is more difficult to extract the signal, which makes it difficult to analyze the signal comprehensively and effectively, which will directly aff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/00G06F2218/04G06F18/214G06F17/18G06F18/15
Inventor 尹愚
Owner CHENGDU PANOAI INTELLIGENT TECH CO LTD
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