Emulation System Cross-Correlation Signal Anomaly Detection
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Solution Overview
Problem
Conventional systems are inefficient in testing and validating complex computing hardware due to high complexity, leading to increased costs and delays in identifying anomalies in signal transmission and generation.
Innovation Solution
An emulation system that uses cross-correlation to identify target signals by generating a cross-correlation object based on expected activity and deviations, reducing computational resources and providing indications of anomalous signal propagation through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional testing systems are used to test complex computing hardware, then the hardware can be tested, but the cost and time required increase rapidly due to high complexity
Solution Approach 1:
The patent replaces conventional mechanical/electronic signal tracing systems with a computational signal processing system. The emulation system captures actual signal traces and compares them against simulated traces through cross-correlation algorithms, substituting physical testing infrastructure with software-based validation that dramatically reduces testing time while maintaining reliability
Solution Approach 2:
The patent creates a virtual copy of the hardware system through emulation. By simulating the hardware behavior and comparing simulated signal traces against actual traces, the system validates hardware correctness without requiring extensive physical testing, thereby reducing time and resource requirements while maintaining testing effectiveness
2Measurement precision
If conventional systems test all signals in complex hardware, then comprehensive coverage is achieved, but computational resources are excessively consumed
Solution Approach 1:
The patent extracts and isolates specific signal traces that are most relevant to anomaly detection. By identifying and focusing computational resources on particular signal paths and correlations rather than processing all signals equally, the system maintains high anomaly detection accuracy while significantly reducing overall computational resource consumption
Solution Approach 2:
The patent segments the complex signal processing task into manageable components: capturing individual signal traces, simulating specific signal paths, and performing cross-correlation on segmented trace data. This segmentation allows the system to achieve comprehensive anomaly detection through targeted analysis rather than exhaustive processing of all signals simultaneously
Data Source
AI summary
Implementations can include a system to trace and identify target signals by cross-correlation to a signal pattern for a circuit, the system including a data processing system including memory and one or more processors to identify a target signal among a plurality of signals propagating through a circuit, detect one or more reference signals associated with an input to the target signal, the reference signals satisfying a threshold based on a depth associated with the target signal and the circuit, generate a cross-correlation object between the target signal and the reference signals based on a waveform of the target signal and corresponding waveforms of the reference signals, generate a metric corresponding to a cross-correlation between at least a portion of the target signal and at least a portion of the cross-correlation object, and modify, based on the metric, a control object of the circuit, the control object associated with the target signal.