Multiplexed Communication Error Handling
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Solution Overview
Problem
Existing multiplexing communication systems are unable to perform suitable error detection and correction processing for mixed data types with different error processing requirements, leading to inefficient data transmission and processing.
Innovation Solution
The system implements separate error detection and correction processing for each data type based on its specific requirements, using methods such as forward error correction, majority logic, and parity check coding, allowing for efficient data transmission and processing by optimizing processing time and frequency according to the data type's needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate error detection and correction processing is implemented for each data type, then data transmission accuracy and reliability are improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent segments the multiplexed data stream into separate data type categories (voice, data, image, video) and applies dedicated error detection and correction processing to each segment. This allows tailored error handling strategies for each data type while maintaining overall system organization and manageability.
Solution Approach 2:
The patent implements local quality by applying different error processing methods to different data types based on their specific requirements. For example, voice data may use one type of error correction while image data uses another, optimizing reliability for each local data category without uniformly complicating the entire system.
2Reliability
If error correction processing is applied to all multiplexed data strings, then data reliability is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by selectively applying error detection and correction processing only to specific data types that require it, rather than uniformly processing all multiplexed data. This reduces overall processing time while maintaining reliability for critical data types through targeted error handling.
Solution Approach 2:
The patent changes processing parameters based on data type characteristics, applying different error correction strengths and methods to different data categories. This allows optimization of processing time by adjusting the level of error correction applied to each data type according to its specific requirements.
3Device complexity
If uniform error processing is applied to all data types, then device complexity is reduced, but data transmission accuracy deteriorates
Solution Approach 1:
The patent segments multiplexed data into distinct data type categories and applies appropriate error processing to each segment. This maintains relative system simplicity through organized categorization while ensuring each data type receives suitable error handling tailored to its characteristics.
Solution Approach 2:
The patent implements local quality by applying different error processing methods to different data types (voice, data, image, video) based on their specific reliability requirements. This ensures high data transmission accuracy for each local data category without requiring complete uniformity across the entire system.
Data Source
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AI summary
Provided is a multiplexing communication system, transmitting device, receiving device, and processing device which can perform suitable error processing for each data type when communicating multiplexed data strings which have mixed multiple data types for which the error processing differs for each. The error setting means, after performing error detection setting processing based on the data transmission rate and data processing time of each multiple data, multiplexing and transmits that data in the multiplexing means. On the receiving side, after restoring each data in the restoration means, performs error detection/correction processing based on the setting processing by the error setting means with respect to each data.