Pilot-Based Signal Coding With Grouping for Transmission Efficiency
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Solution Overview
Problem
Current signal processing techniques for audio and video data compression and transmission in complex communication environments do not maximize transmission efficiency, leaving room for improvement.
Innovation Solution
An apparatus and method that optimize signal processing by using pilot reference values and pilot difference values to select the most efficient encoding scheme, combining pulse code modulation (PCM), pilot-based coding (PBC), and differential coding (DIFF) schemes for efficient data coding and entropy coding, and employing various grouping methods to enhance data processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional signal processing techniques are used for audio and video data compression, then basic compression is achieved, but transmission efficiency is not maximized
Solution Approach 1:
The patent implements dynamic encoding scheme selection that adapts to varying signal characteristics. The system determines whether to use PCM, PBC, or DIFF encoding based on real-time analysis of signal properties, allowing the processing approach to dynamically adjust rather than using a fixed method. This dynamic adaptation maximizes transmission efficiency for different types of audio signals while managing processing complexity through intelligent decision-making algorithms.
Solution Approach 2:
The patent changes encoding parameters by selecting different encoding schemes (PCM, PBC, DIFF) based on signal characteristics. The system modifies the encoding approach by choosing pilot-based coding with different pilot types (single pilot, multiple pilots, hierarchical pilots) or differential coding orders, thereby optimizing transmission efficiency for specific signal conditions without requiring completely different processing systems.
2Productivity
If pilot-based coding with multiple pilots is used, then transmission efficiency is improved, but encoding complexity increases
Solution Approach 1:
The patent segments the pilot structure into hierarchical levels with different importance weights. Instead of treating all pilots equally, the system divides pilots into primary and secondary categories, allowing the decoder to reconstruct signals using only essential information when bandwidth is limited. This segmentation reduces the effective complexity while maintaining transmission efficiency through prioritized information delivery.
Solution Approach 2:
The patent implements partial action by allowing selective transmission of pilot information based on available bandwidth and signal requirements. The system can transmit full pilot sets for high-quality reconstruction or partial pilot sets for bandwidth-constrained scenarios, achieving adequate signal recovery with reduced encoding and transmission complexity when full precision is not required.
3Productivity
If differential coding is used to compress data, then compression ratio is improved, but decoding precision may be affected
Solution Approach 1:
The patent introduces pilot signals as intermediary references that facilitate accurate differential decoding. These pilot signals serve as mediators between the encoded data and the reconstruction process, providing reference points that enable the decoder to accurately recover original signal values from differential differences. The pilots act as calibration references that maintain precision while allowing aggressive compression through differential encoding.
Solution Approach 2:
The patent replaces direct transmission of full signal information with a substituted mechanism using differential encoding relative to pilot references. Instead of mechanically transmitting complete signal data, the system substitutes a more efficient differential representation that computes differences from pilot values, achieving higher compression ratios while maintaining decoding precision through the mathematical relationship preserved in the differential data.
Data Source
AI summary
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 pilot reference value corresponding to a plurality of gains and a pilot difference value corresponding to the pilot reference value; and obtaining the gain using the pilot reference value and the pilot difference value.


