Entropy Table Selection in Signal Decoding for Efficient Audio Recovery
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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 processes for audio recovery.
Innovation Solution
The development of an apparatus and method for signal processing that involves entropy-decoding index information, identifying an entropy table, and entropy-decoding data using this table, along with entropy-encoding and index-encoding processes to enhance data coding and decoding efficiency, specifically utilizing techniques like Pulse Code Modulation (PCM), Pilot Based Coding (PBC), and Differential Coding (DIFF) for efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing 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 implements dynamic entropy table selection where the decoder identifies and selects the appropriate entropy table based on the decoded index information in the bitstream. This allows the system to adapt its decoding parameters dynamically to match the encoding parameters used by the transmitter, optimizing transmission efficiency for different communication conditions while maintaining basic transmission functionality.
2Measurement precision
If data is entropy-encoded without index information, then encoding is simple, but the decoder cannot identify the correct entropy table for accurate decoding
Solution Approach 1:
The patent introduces index information as an intermediary element that bridges the encoder and decoder. The index information identifies which entropy table was used for encoding and is transmitted along with the encoded data. The decoder uses this index to select the corresponding entropy table, ensuring accurate decoding without requiring complex embedded table identification mechanisms within the data itself.
3Productivity
If multiple entropy tables are used for different data types, then coding efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent segments the entropy coding system into multiple specialized entropy tables, each optimized for different types of data or coding conditions. Instead of using a single general-purpose table, the system divides the encoding space into multiple segments (tables) and selects the appropriate segment based on the data characteristics and communication conditions, thereby improving coding efficiency while managing complexity through organized table selection.
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 data and entropy-decoding the index information and identifying an entropy table corresponding to the entropy-decoded index information and entropy-decoding the data using the identified entropy table.