Noise Injection Circuit for Data Processing Quality Assessment
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Solution Overview
Problem
Current data processing systems face challenges in accurately characterizing device quality due to low error rates and difficulty in correcting errors, which hinders adjustments and quality assessment.
Innovation Solution
The implementation of a known pattern based noise injection circuit that calculates and adds a noise component to the data input, allowing for managed degradation and bit error rate calculation, enabling selection between original and noise-injected data for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data processing is performed with high reliability, then error rate is very low, but it becomes difficult to characterize device quality and make adjustments
Solution Approach 1:
The patent applies preliminary action by pre-calculating noise components based on known patterns before actual data processing. The system pre-computes expected noise characteristics and stores them for later use during quality assessment, enabling accurate device characterization even when actual error rates are very low. This pre-computation allows the system to have measurement-ready data without waiting for natural errors to occur.
Solution Approach 2:
The patent converts the harmful effect of noise and errors into a beneficial measurement tool. By intentionally analyzing noise components and error patterns that would normally degrade data quality, the system transforms them into useful metrics for characterizing device performance. The noise injection and analysis process turns what was previously a detrimental factor into a diagnostic advantage, allowing precise quality assessment.
2Reliability
If error rate is very low, then data processing is reliable, but it is difficult to correct errors and assess device quality
Solution Approach 1:
The system performs preliminary noise component calculation and stores expected error patterns before actual data processing. By pre-computing what errors should look like based on known patterns and system characteristics, the system has measurement templates ready to detect and analyze actual errors when they occur, making error detection feasible even at very low error rates.
Solution Approach 2:
The patent introduces noise components and known patterns as intermediary elements that facilitate error detection. These intermediaries serve as reference signals that mediate between the raw data and the quality assessment process, providing a framework for detecting and measuring errors that would otherwise be too rare or subtle to analyze effectively.
3Measurement precision
If noise injection is applied to increase error rate for measurement, then device quality characterization improves, but data processing complexity increases
Solution Approach 1:
The patent reduces complexity by performing noise component calculations and noise injection operations in advance, before the main data processing workflow. By pre-computing noise characteristics and preparing measurement data upfront, the system avoids adding complex real-time processing steps during critical data operations, thereby minimizing the impact on overall system complexity while still achieving accurate quality measurement.
Data Source
AI summary
Systems, methods, devices, circuits for data processing, and more particularly to data processing including operational marginalization capability.