Pilot-Based Signal Coding for Higher 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 in data coding and encoding methods.
Innovation Solution
The development of an apparatus and method that uses pilot reference values and pilot difference values to optimize data coding schemes, including PCM, PBC, and DIFF coding, to efficiently encode and decode data, particularly for audio signals, by selecting appropriate coding schemes based on data conditions and using entropy coding to enhance transmission 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 applies dynamics by making the coding scheme adaptable and changeable based on signal characteristics. The system dynamically selects between DIFF coding and PBC coding depending on the number of data items and their properties, allowing the coding approach to optimize transmission efficiency for different signal conditions rather than using a fixed method
Solution Approach 2:
The patent changes parameters by using different coding schemes (DIFF vs PBC) based on the number of data items. When the number of data items is small, DIFF coding is used; when the number is large, PBC coding with pilot values is used. This parameter-based selection optimizes transmission efficiency for different data volumes and characteristics
2Productivity
If data is coded using multiple coding schemes, then transmission efficiency is improved, but coding complexity increases
Solution Approach 1:
The patent segments the coding process into distinct schemes (DIFF coding and PBC coding) that can be independently selected based on data characteristics. This segmentation allows each coding scheme to be optimized for specific scenarios without requiring the system to handle all complexity simultaneously
Solution Approach 2:
The system dynamically selects the appropriate coding scheme based on the number of data items and signal properties. The coding approach changes adaptively: DIFF coding for small datasets, PBC coding for large datasets, maximizing efficiency while managing complexity through conditional selection
3Productivity
If pilot based coding is used for large number of data, then compression efficiency is enhanced, but processing overhead increases
Solution Approach 1:
The patent applies preliminary action by calculating and storing pilot values (mean and standard deviation) before the actual coding process. These pre-calculated pilot values are then reused during coding operations, reducing the computational burden during the actual compression process while maintaining high compression efficiency
Solution Approach 2:
The patent uses copying by creating pilot values that represent the statistical properties of the data. These pilot values are copied and reused across multiple data items during PBC coding, avoiding the need to perform complex calculations for each individual data item, thus reducing processing time while maintaining compression efficiency
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 number of data corresponding to a pilot reference value and if a number of data bands meets a predetermined condition, obtaining the pilot reference value and a pilot difference value corresponding to the pilot reference value and obtaining the data using the pilot reference value and the pilot difference value.