Entropy Table Selection for Efficient Audio Signal Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current signal processing techniques face limitations in maximizing transmission efficiency, especially in complex communication environments, and there is a need for improved methods to efficiently code and decode data for enhanced audio recovery.
Innovation Solution
The proposed apparatus and method involve obtaining index information, entropy-decoding it, and using an entropy table to reconstruct audio signals by identifying content corresponding to the entropy-decoded index information, employing techniques like pilot-based coding and differential coding to optimize data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If general entropy decoding is used for all data types, then decoding simplicity is maintained, but transmission efficiency is not optimized
Solution Approach 1:
The patent segments the decoding process by creating different entropy decoding paths based on data type. Control data uses one decoding path while audio data uses another, allowing each to be optimized independently for transmission efficiency without unnecessarily complicating the overall system.
Solution Approach 2:
The patent implements dynamic selection of entropy tables based on the type of data being decoded. The system adapts its decoding approach in real-time by selecting appropriate entropy tables for control data versus audio data, optimizing transmission efficiency without requiring all possible decoding mechanisms to be active simultaneously.
2Productivity
If separate entropy tables are used for different data types, then transmission efficiency is optimized, but processing complexity increases
Solution Approach 1:
The patent performs preliminary classification of data types before the actual entropy decoding process. By identifying whether data is control data or audio data in advance, the system can select the appropriate entropy table beforehand, avoiding the need to process through multiple tables and reducing overall processing complexity.
Solution Approach 2:
The patent applies different entropy table characteristics locally to different data types. Control data receives decoding with one set of entropy table properties while audio data receives decoding with another set, allowing each data type to be processed with the most efficient parameters for its specific characteristics without affecting other data types.
3Measurement precision
If comprehensive coding schemes are applied to all data, then decoding accuracy is improved, but transmission overhead increases
Solution Approach 1:
The patent applies coding schemes selectively rather than comprehensively to all data. By applying enhanced entropy decoding only where needed (control data with specific entropy tables) and using standard decoding elsewhere, the system achieves sufficient decoding accuracy without the transmission overhead that would result from applying comprehensive coding schemes universally.
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 index information and entropy-decoding the index information and identifying a content corresponding to the entropy-decoded index information and selecting entropy table.