Signal Pairing Analysis for Hardware Performance Evaluation
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Solution Overview
Problem
Existing technologies lack comprehensive signal analysis methods to efficiently and accurately evaluate the performance of hardware or systems, making it difficult for researchers to improve their characteristics.
Innovation Solution
A signal pairing analysis method that allows users to select pairing conditions for signals, find matching signal data, and generate statistical results for performance evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive signal analysis methods are implemented, then measurement precision and reliability evaluation are improved, but device complexity and analysis time increase
Solution Approach 1:
The signal analysis method is segmented into distinct functional modules: signal loading module, setting module (for configuring search conditions), search module (for finding matching signals), and pairing analysis module. Each module performs a specific task in the analysis workflow, making the complex analysis process manageable and systematic while maintaining high measurement precision through structured signal pairing and statistical evaluation.
2Measurement precision
If comprehensive signal analysis methods are implemented, then measurement precision and reliability evaluation are improved, but analysis time increases
Solution Approach 1:
The setting module allows users to pre-configure search conditions (such as signal types, time ranges, and matching criteria) before the actual analysis begins. This preliminary setup enables the search module to efficiently filter and identify relevant signal pairs without performing exhaustive searches, thereby maintaining high measurement precision while reducing the overall analysis time.
3Reliability
If signal pairing and statistical analysis are performed, then reliability evaluation capability is improved, but ease of operation decreases
Solution Approach 1:
The pairing analysis module automatically generates statistical results based on the analyzed signal pairs and provides feedback to the user. This feedback mechanism includes quantitative metrics about signal pairing quality, timing relationships, and reliability indicators, enabling users to evaluate system reliability without manually interpreting complex signal data, thus balancing enhanced evaluation capability with operational simplicity.
Data Source
AI summary
A signal pairing analysis method, including: loading a signal file to be analyzed, in which a plurality of input signals and a plurality of output signals captured from the device under test are recorded; setting a search condition for the input signals to be searched and a search condition for the output signals to be searched, and respectively generating an input signal search condition and an output signal search condition accordingly; searching among the output signals in the signal file to find first signals that match the output signal search condition based on the output signal search condition, and searching among the input signals in the signal file to find second signals that match the input signal search condition based on the input signal search condition; performing a pairing analysis step to analyze the plurality of first signals and second signals and generate a statistical result.