Grouped Signal Encoding for Higher Transmission Efficiency
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Solution Overview
Problem
Current signal processing techniques face limitations in maximizing transmission efficiency, particularly in complex communication environments, where existing methods do not fully optimize data coding and decoding for efficient data transfer and recovery.
Innovation Solution
The proposed solution involves a method and apparatus for signal processing that utilizes grouping techniques, including internal and external grouping, to obtain group reference values and difference values, which are then used for efficient data coding and decoding, specifically employing pilot-based coding and differential coding schemes to enhance transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional signal processing techniques are used, then basic transmission is achieved, but transmission efficiency cannot be maximized in complex communication environments
Solution Approach 1:
The patent applies segmentation by dividing data into multiple groups and performing separate encoding on each group. This is achieved through the grouping module that segments input data into multiple groups, allowing differential encoding to be applied independently to each group, thereby improving transmission efficiency while managing complexity through modular processing
Solution Approach 2:
The patent introduces a new dimension of processing by implementing multi-level grouping (first grouping and second grouping) and differential encoding across different data dimensions. This dimensional approach allows the system to optimize transmission efficiency by encoding data groups differently based on their characteristics, rather than using a single uniform processing approach
2Productivity
If data is coded without grouping techniques, then coding process is simpler, but transmission efficiency and data recovery effectiveness are reduced
Solution Approach 1:
The coding process is segmented into distinct stages: a grouping module that divides data into multiple groups, and a differential encoding module that encodes each group separately. This segmentation allows the system to achieve higher transmission efficiency through targeted encoding while keeping each processing stage relatively simple and manageable
Solution Approach 2:
The patent implements dynamic coding by adaptively selecting encoding strategies for different data groups. The system can dynamically adjust encoding parameters based on the characteristics of each group, allowing optimization of transmission efficiency without requiring overly complex predetermined coding schemes
3Productivity
If control data for audio recovery is not optimized, then processing is simpler, but transmission efficiency of control data is reduced
Solution Approach 1:
Control data for audio recovery is segmented and processed separately from other data streams. The patent applies differential encoding specifically to control data groups, allowing optimized transmission efficiency for this critical data type while maintaining dedicated processing paths that manage complexity through specialization
Solution Approach 2:
The patent introduces intermediate processing stages for control data, including separate grouping and differential encoding modules that act as intermediaries between raw control data and the final encoded stream. This intermediary approach optimizes transmission efficiency for control data while maintaining clear processing boundaries that manage system complexity
Data Source
AI summary
An apparatus for processing a signal and method thereof are disclosed. Data coding and entropy coding are performed with interconnection, and grouping is used to enhance coding efficiency. The present invention includes the steps of obtaining a group reference value corresponding to a plurality of data included in one group through grouping including first grouping and second grouping and a first difference value corresponding to the group reference value and obtaining the data using the group reference value and the first difference value.