Ratio-Adjustable Sync Mark Detection Circuit
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Solution Overview
Problem
Existing data processing systems face challenges in accurately detecting synchronization marks within data streams due to corruption during storage or transmission, leading to issues with early detection and misdetection.
Innovation Solution
A ratio-adjustable sync mark detection system that includes a pattern match calculation circuit and an indication circuit, which calculates metrics representing differences between data sequences and possible patterns, and uses adjustable scaling ratios to balance the likelihood of early detection and misdetection errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data patterns are searched for to identify sync marks, then synchronization detection is enabled, but data corruption during storage or transmission causes the ideal data pattern to not appear in the retrieved data stream
Solution Approach 1:
The system dynamically adjusts the scaling ratio parameter based on detected conditions to optimize detection sensitivity. The pattern match calculation circuit calculates multiple metrics with different scaling ratios, and the selection circuit dynamically selects the appropriate scaling ratio to balance early detection and misdetection based on the current data conditions.
Solution Approach 2:
The invention changes the detection parameter (scaling ratio) to adapt to different detection scenarios. By calculating metrics with multiple scaling ratios (e.g., 0.5, 0.75, 1.0) and selecting the appropriate one, the system adjusts its sensitivity to handle corrupted data while maintaining detection accuracy.
2Loss of time
If the detection system is made more sensitive to detect sync marks, then early detection is improved, but misdetection rate increases
Solution Approach 1:
The system dynamically adjusts the scaling ratio parameter based on detected conditions to optimize detection sensitivity. The pattern match calculation circuit calculates multiple metrics with different scaling ratios, and the selection circuit dynamically selects the appropriate scaling ratio to balance early detection and misdetection based on the current data conditions.
Solution Approach 2:
The invention changes the detection parameter (scaling ratio) to adapt to different detection scenarios. By calculating metrics with multiple scaling ratios (e.g., 0.5, 0.75, 1.0) and selecting the appropriate one, the system adjusts its sensitivity to handle corrupted data while maintaining detection accuracy.
3Measurement precision
If multiple metrics with different scaling ratios are calculated, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The detection process is segmented into distinct functional blocks: a pattern match calculation circuit that calculates multiple metrics with different scaling ratios, and a selection circuit that selects the appropriate metric. This segmentation allows the complex calculation to be organized into manageable, modular components.
Solution Approach 2:
The selection circuit acts as an intermediary between the multiple calculated metrics and the final detection decision. It receives multiple scaled metrics, selects the most appropriate one based on the detection scenario, and provides it to the decision logic, simplifying the overall system architecture.
Data Source
AI summary
Systems, methods, devices, circuits for data processing, and more particularly to systems and methods for detecting a sync mark with a ratio-adjustable detection system.