Selective Data Signal Frame Analysis for Electronic Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern electronic systems with multiple nodes require more detailed analysis of data signals beyond simple monitoring, as existing methods lack flexibility in selectively analyzing signal quality across networks.
Innovation Solution
An analysis device with a signal input, memory unit, signal decoder, identification unit, and signal processor that buffers and decodes data signals, allowing selective processing of specific frames or sub-frames based on predetermined content conditions, enabling the generation of eye diagrams for targeted data transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all data signals from all nodes are monitored continuously, then complete system monitoring is achieved, but analysis flexibility and focus on specific relevant signals is reduced
Solution Approach 1:
The patent segments the continuous data signal stream into discrete frames with specific structures (synchronization field, address field, data field, error check field). This segmentation allows the analysis device to selectively process specific frames or portions of frames based on address matching or other criteria, enabling focused analysis of relevant signals while ignoring others, thus resolving the contradiction between complete monitoring and analysis flexibility
Solution Approach 2:
The patent implements preliminary action by pre-configuring filter criteria (such as address masks, synchronization patterns, or frame type specifications) before signal analysis begins. The identification unit uses these pre-set criteria to quickly identify and select relevant frames from the data stream, allowing the system to maintain flexibility in choosing what to analyze without needing to process all signals in detail, thereby resolving the contradiction between comprehensive monitoring and targeted analysis capability
2Measurement precision
If detailed analysis of all data signal sections is performed, then comprehensive signal quality assessment is achieved, but processing time and computational workload increase
Solution Approach 1:
The patent extracts only the relevant portions of data signals for detailed analysis. The identification unit selectively identifies frames matching specific criteria (such as particular addresses or frame types), and the analysis unit then performs detailed signal quality assessment only on these extracted relevant sections. This extraction approach maintains comprehensive assessment capability for targeted signals while significantly reducing processing time by avoiding detailed analysis of all signals, thus resolving the contradiction between thorough assessment and processing efficiency
Solution Approach 2:
The patent applies partial action by performing complete detailed analysis only on the subset of frames that match identification criteria, rather than applying the same level of analysis to all frames. For non-matching frames, minimal processing or no processing is performed. This partial approach ensures thorough signal quality assessment where needed while minimizing overall processing time, resolving the contradiction between comprehensive assessment and time efficiency
3Adaptability or versatility
If selective analysis of specific frames is implemented, then analysis flexibility and focus are improved, but device complexity increases due to additional processing units
Solution Approach 1:
The patent implements multi-functionality by designing processing units that can perform multiple functions. The identification unit can identify frames based on various criteria (address matching, synchronization patterns, frame types), and the analysis unit can perform different types of signal quality assessments. This universal design allows the same hardware structure to provide flexible selective analysis capabilities without requiring separate dedicated units for each function, thus resolving the contradiction between analysis flexibility and device complexity
Data Source
AI summary
An analysis device for analyzing a data signal in an electronic system comprises a signal input for receiving the data signal, a memory unit to buffer the data signal, a signal decoder which is coupled to the memory unit and decodes frames of the data signal, an identification unit coupled to the decoder for identifying a number of the frames and/or at least one sub-frame of the frames which comply with a predetermined frame content condition, and a signal processor which is coupled to the memory unit and processes the data signal according to the identified at least one frame or sub-frame and according to respective timing information.