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Method for Improving Vertical Resolution of Digital Storage Oscilloscope Based on Information Entropy

A technology of digital storage and oscilloscope, applied in the direction of digital variable display, etc.

Active Publication Date: 2016-10-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In LUO ZH L, ZHANG Q J, FANG Q CH, Method of data fusion applied in intelligent instruments, Instrument Technique and Sensor, 3(1), 45-46(2002). According to the batch estimation theory of statistical theory, a Data fusion algorithm, which was improved in CAI F N, LIU Q X, Single sensor data fusion and analysis of effectiveness, Jouma1of Transducer Technology, 24(2), 73-74(2005). However, both algorithms assume The data sample has the characteristics of normal distribution and has certain subjective assumptions

Method used

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  • Method for Improving Vertical Resolution of Digital Storage Oscilloscope Based on Information Entropy
  • Method for Improving Vertical Resolution of Digital Storage Oscilloscope Based on Information Entropy
  • Method for Improving Vertical Resolution of Digital Storage Oscilloscope Based on Information Entropy

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Embodiment

[0138] In order to show the specific process of the present invention more intuitively, a group of samples actually sampled by a certain digital storage oscilloscope is taken as an example for illustration. The working parameters of the digital storage oscilloscope are: 500ns / div time base file, the actual sampling rate is 100MSa / s, and the oversampling multiple is 10. It can be seen that there are 10 samples in each group of samples of the digital storage oscilloscope. Table 4 is the 10 original samples obtained by oversampling in the embodiment.

[0139] serial number

x 1

x 2

x 3

x 4

x 5

x 6

x 7

x 8

x 9

x 10

sample value

120

121

121

123

124

125

63

79

129

131

[0140] Table 4

[0141] Expectation μ and sample variance σ of the 10 original samples 2 They are:

[0142] μ = x ‾ = 1 10 ...

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Abstract

The invention discloses a method for improving the vertical resolution of a digital storage oscilloscope based on information entropy. For an oversampled single acquisition signal, the sampling maximum entropy principle estimates the probability and maximum entropy of each sample, and calculates the uncertainty of the sample according to the sample probability. , and then get the confidence interval, remove the rough quantization error in the sample according to the confidence interval, calculate the fusion weight coefficient of the data according to the information ratio, and perform data fusion on the effective samples according to the fusion weight coefficient, and replace the sample of the rough quantization error with the data fusion result The sample data is reconstructed, and then the average-based extraction algorithm is used to obtain the output sample. The invention is used to improve the vertical resolution of the digital storage oscilloscope, by combining the data fusion based on information entropy and the decimation filter algorithm based on the average, the vertical resolution of the digital oscilloscope is improved, and the signal-to-noise ratio performance of the output signal is improved, and it will not Affects the analog bandwidth at the oscilloscope's actual sample rate.

Description

technical field [0001] The invention belongs to the technical field of digital storage oscilloscopes, and more specifically relates to a method for improving the vertical resolution of digital storage oscilloscopes based on information entropy. Background technique [0002] Bandwidth, sampling rate and storage depth are the three core indicators commonly used to evaluate the performance of digital storage oscilloscopes. In addition, there is another very important indicator: vertical resolution. Higher vertical resolution means finer waveform display and more accurate signal measurement. The vertical resolution of a digital storage oscilloscope (DSO) depends on the number of quantization bits in the analog-to-digital converter (ADC), as well as the noise and distortion levels of the oscilloscope itself. Common oscilloscope products generally use 8-bit or 12-bit ADCs. When the number of quantization bits of the ADC is fixed, reducing noise becomes the key to providing highe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R13/02
Inventor 蒋俊潘卉青汪明王翔辉
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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