Audio Signal Entropy Coding with Adaptive Pilot Value Tables
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current signal processing techniques face limitations in maximizing transmission efficiency, particularly in complex communication environments, and there is a need for enhanced data coding and encoding methods to improve audio recovery and transmission efficiency.
Innovation Solution
The development of an apparatus and method that involves entropy table-based data coding and encoding schemes, including pilot reference values and differential coding, to optimize signal processing and maximize transmission efficiency by efficiently encoding and decoding audio signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional signal compression techniques are used, then some level of compression is achieved, but transmission efficiency cannot be maximized in complex communication environments
Solution Approach 1:
The patent segments the audio signal processing into multiple independent coding schemes (transform coding, predictive coding, residual coding) that can be selectively applied to different frequency bands and time periods. This segmentation allows the system to optimize transmission efficiency by choosing the most appropriate coding scheme for each segment without requiring complex processing across the entire signal, thereby resolving the contradiction between improving transmission efficiency and reducing processing complexity.
Solution Approach 2:
The patent implements dynamic selection of coding schemes and entropy tables based on signal characteristics and communication conditions. The system dynamically adjusts the coding approach by selecting from multiple available schemes and adapting entropy tables to match the current signal statistics, enabling maximization of transmission efficiency in varying communication environments without requiring a single complex fixed processing scheme.
2Productivity
If data is encoded using multiple coding schemes, then transmission efficiency can be improved, but the complexity of encoding and decoding increases
Solution Approach 1:
The patent prepares multiple coding schemes and corresponding entropy tables in advance before actual encoding occurs. By pre-configuring the transform codes, predictive coefficients, and residual coding parameters, the system enables rapid selection and application of the most appropriate coding scheme during encoding without requiring complex real-time analysis, thus improving data coding efficiency while managing encoding complexity through advance preparation.
Solution Approach 2:
The patent changes key parameters such as transform type, predictive order, and entropy table selection based on signal characteristics and communication conditions. By adjusting these parameters dynamically, the system optimizes coding efficiency for different signal types and transmission scenarios without requiring a completely different encoding architecture, thereby improving data coding efficiency while controlling the complexity of the encoding scheme through parameter adaptation rather than structural complexity.
3Measurement precision
If entropy tables are optimized for specific coding schemes, then decoding accuracy improves, but the system becomes less adaptable to different coding schemes
Solution Approach 1:
The patent designs entropy tables with universal structures that can be adapted to multiple coding schemes through parameter configuration rather than requiring completely separate tables for each scheme. The entropy tables are constructed to handle different probability distributions and coding characteristics by adjusting their internal parameters, enabling them to serve multiple coding schemes (transform coding, predictive coding, residual coding) while maintaining decoding accuracy for each specific scheme through appropriate parameter settings.
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 data corresponding to a plurality of data coding schemes and deciding an entropy table for at least one of a pilot reference value and a pilot difference value included in the data using an entropy table identifier unique to the data coding scheme and entropy-decoding at least one of the pilot reference value and the pilot difference value using the entropy table.