Compressed Data Stream Synchronization via Detectable Entropy Patterns
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Solution Overview
Problem
Current synchronization methods for multiple remote sensors are often custom, expensive, and unreliable, particularly in environments requiring high reliability, and conventional data compression components may introduce artifacts or fail to support data stream synchronization.
Innovation Solution
The solution involves synchronizing data streams, including compressed streams, by using conventional data compression components to generate detectable data units, such as patterns with well-characterized entropies, to enable synchronization, even across multiple remote sensors, ensuring reliable transmission and presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If custom synchronization methods are used for multiple remote sensors, then synchronization capability is achieved, but reliability deteriorates due to untested systems and designer inexperience
Solution Approach 1:
The system separates synchronization functionality into distinct segments: well-tested compression components handle data compression, while a dedicated synchronization module handles timing and coordination. This segmentation allows each component to be independently tested and validated, improving overall system reliability while maintaining synchronization capability.
Solution Approach 2:
The patent employs universal, well-tested compression components (such as standard video coders) that can be reused across multiple applications and sensor systems. These standardized components have been extensively validated in other contexts, providing reliable performance without requiring custom development, thus improving reliability while maintaining adaptability through configuration rather than redesign.
2Adaptability or versatility
If conventional data compression components are used, then data compression is achieved, but synchronization support deteriorates due to inflexibility and lack of synchronization functionality
Solution Approach 1:
The system introduces an intermediary synchronization module that sits between the conventional compression component and the output stream. This mediator captures timing information, generates synchronization markers, and coordinates data flow without requiring modifications to the well-tested compression component itself. This approach adds synchronization capability while keeping the compression component simple and unchanged.
Solution Approach 2:
The synchronization module performs preliminary actions by pre-generating synchronization markers and timing information before the compressed data is finalized. This allows the compression component to operate independently at its own pace while the synchronization layer prepares coordination signals in advance, enabling both functions without increasing compression component complexity.
3Quantity of substance
If data compression is applied to sensor data, then data quantity is reduced, but data integrity deteriorates due to compression artifacts
Solution Approach 1:
The system creates multiple copies of the data stream: one copy undergoes compression for efficient transmission and storage, while another copy maintains the original uncompressed data for applications requiring high fidelity. This copying approach allows the system to benefit from compression where appropriate while preserving data integrity where needed, without compromising either objective.
Data Source
AI summary
Synchronization of data streams is enabled. Synchronized data streams may include compressed data streams. Conventional data compression components may be utilized to generate the compressed data streams. As an example, compressed digitized video and associated metadata may be synchronized in this way. Synchronization may be enabled based on causing data compression components to generate detectable data units. For example, patterns of data units having well characterized entropies may be passed through data compression components to generate detectable patterns of compressed data units.