Eye Diagram Component Segmentation for Multi-Level PAM Signal Analysis
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Solution Overview
Problem
As the number of PAM amplitude levels increases, the complexity of eye diagrams also increases, making it difficult for users to accurately analyze multi-level PAM signals using conventional eye diagrams.
Innovation Solution
The solution involves categorizing and separating components of eye diagrams into distinct subcomponents, allowing users to selectively view only specific types of transitions or components, and generating overlay and composite diagrams to simplify analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional eye diagrams are used to analyze multi-level PAM signals, then the analysis covers all signal transitions, but the diagram becomes cluttered and harder to interpret as the number of amplitude levels increases
Solution Approach 1:
The patent segments the eye diagram into multiple separated subcomponents based on transition types (e.g., 0→1 transitions, 1→0 transitions, specific amplitude level transitions). This segmentation allows users to view only relevant transition components separately, reducing visual clutter while maintaining comprehensive analysis capability when needed.
Solution Approach 2:
The patent implements dynamic eye diagrams that can be selectively triggered to display only specific transition types or components based on user selection or analysis needs. This dynamic filtering capability allows the eye diagram complexity to adapt to the specific analysis requirement, showing only necessary information rather than all possible transitions simultaneously.
2Loss of information
If all transition types are displayed in a single eye diagram, then complete signal behavior is captured, but the clutter increases making accurate analysis difficult
Solution Approach 1:
The patent divides the complete eye diagram into multiple separated subcomponents, each representing specific transition types (e.g., rising edges, falling edges, specific amplitude transitions). Users can select and view only the subcomponents relevant to their analysis, reducing interpretability difficulties while preserving access to complete signal information when all subcomponents are viewed together.
Solution Approach 2:
The patent enables dynamic selection and filtering of eye diagram components, allowing users to toggle between different transition types and combinations. This dynamic capability maintains complete information availability while improving ease of operation by allowing users to focus on specific aspects of signal behavior without being overwhelmed by all transitions simultaneously.
Data Source
AI summary
A system for generating images on a test and measurement device includes a first input for accepting a waveform input signal carrying sequential digital information and an image generator structured to generate a visual image using a segment of the waveform input only when two or more sequential codes of digital information match sequential codes carried in the sequential digital information of the segment of the waveform input. A user-defined state-machine comparator may be used to determine which segments of the waveform input signal are used in the image generation.