Oscilloscope Triggering Using Entropy Thresholds
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Solution Overview
Problem
Modern digital storage oscilloscopes face inefficiencies in capturing and displaying abnormal or transient signals due to the superimposition of waveforms from multiple triggers, making it difficult to identify and analyze these signals effectively.
Innovation Solution
A method and system for oscilloscope triggering that uses power spectrum entropy and singular spectrum entropy as measurement features to differentiate abnormal signals from normal ones, employing a two-stage trigger mechanism to selectively store and display abnormal waveforms, reducing redundant data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the waveform capture rate (WRC) of DSO is improved to increase the probability of capturing abnormal signals, then the capture capacity for abnormal signals is improved, but the time required to capture abnormal signals increases and waveforms from multiple triggers are superimposed making it difficult to identify abnormal signals
Solution Approach 1:
The patent divides the captured waveforms into two separate storage areas: a first storage area for normal waveforms and a second storage area for abnormal waveforms. This segmentation allows abnormal signals to be isolated and displayed separately, avoiding superimposition with normal waveforms and enabling quick identification without requiring long capture times.
Solution Approach 2:
The patent applies different quality standards to different parts of the waveform data by using entropy calculation (power spectrum entropy and singular spectrum entropy) to locally identify abnormal segments. This allows the system to focus processing resources on detecting and storing only the abnormal portions, reducing overall capture time while maintaining high reliability.
2Reliability
If long time waveform capture by infinite persistence is used to find abnormal or occasional signals, then the capture capacity is improved, but the efficiency is reduced and waveforms are superimposed making it difficult to identify abnormal signals
Solution Approach 1:
The patent performs preliminary action by calculating entropy values and comparing them against thresholds during the acquisition process to pre-identify abnormal waveforms. This allows the system to sort and store waveforms in appropriate categories before final display, eliminating the need for long-time persistence averaging and improving measurement efficiency while maintaining high capture capacity.
Solution Approach 2:
The patent changes the parameter used for waveform classification from traditional trigger conditions to entropy-based parameters (power spectrum entropy and singular spectrum entropy). This parameter change enables automatic differentiation between normal and abnormal waveforms, allowing efficient sorting and storage without requiring extended capture times.
3Stability of the object's composition
If traditional trigger systems are used to ensure stable display of periodic signals, then waveform synchronization is achieved, but the ability to capture and display abnormal or occasional signals with specific features is limited
Solution Approach 1:
The patent makes the trigger system universal by implementing multiple trigger modes: traditional trigger for periodic signals (first trigger) and entropy-based trigger for abnormal signals (second trigger). This multi-functionality allows the system to maintain waveform synchronization for periodic signals while simultaneously capturing and displaying abnormal or occasional signals with specific features, greatly enhancing adaptability.
Solution Approach 2:
The patent introduces dynamics by making the trigger mechanism adaptive - it can dynamically switch between traditional trigger conditions for stable periodic signals and entropy-based trigger conditions for detecting abnormal signals. This dynamic capability allows the system to adjust its behavior based on the signal characteristics, maintaining synchronization when needed while capturing transient abnormal events.
Data Source
AI summary
The present invention provides a method and system for oscilloscope triggering. The power spectrum entropy threshold Gp and the singular spectrum entropy threshold Gs are obtained by calculating the averages of the power spectrum entropy Hi and the singular spectrum entropy Ei of the first a waveform data frames respectively. Then, for the waveform data frame xa+1(τ) and thereafter, If the power spectrum entropy Hi is greater than power spectrum entropy threshold Gp and the singular spectrum entropy Ei is greater than the singular spectrum entropy threshold Gs, the waveform data frame xi(τ) is an abnormal signal, the second trigger occurs, storing and displaying the waveform data frame. Thus the storage and display of abnormal signal is realized.