Pilot-Based Audio Coding with Entropy Grouping for Transmission Efficiency
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Solution Overview
Problem
Current signal processing techniques for audio data compression and transmission in complex communication environments do not maximize transmission efficiency, indicating a need for improved methods to enhance data coding and decoding processes.
Innovation Solution
The development of an apparatus and method that involves entropy-decoding and entropy-coding of difference values and reference values using various coding schemes such as pilot-based coding (PBC) and differential coding (DIFF), along with efficient data grouping and entropy table management, to optimize data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional signal compression techniques are used, then audio data can be compressed and transmitted, but transmission efficiency is not maximized in complex communication environments
Solution Approach 1:
The patent implements dynamic entropy coding schemes that adapt to varying communication environments and data characteristics. The system selects between different entropy coding methods (arithmetic coding, Huffman coding, range coding) based on current transmission conditions and data statistics, allowing the compression efficiency to dynamically optimize for complex communication environments rather than using a fixed compression approach
Solution Approach 2:
The patent changes coding parameters adaptively by adjusting entropy coding scheme selection, bit allocation, and compression ratios based on communication environment feedback. The system monitors transmission conditions and modifies coding parameters in real-time to maximize transmission efficiency under varying channel conditions, transforming static compression into adaptive parameter optimization
2Productivity
If data is coded using traditional methods, then data can be transmitted, but transmission efficiency of control data used for audio recovery is not maximized
Solution Approach 1:
The patent introduces an intermediary entropy decoding process that efficiently compresses control data while preserving essential audio recovery information. The entropy coding scheme acts as an intermediary layer that reduces control data size without losing critical information needed for accurate audio reconstruction, using probabilistic modeling to maintain information integrity while minimizing transmission bandwidth
Solution Approach 2:
The patent uses entropy coding to create compact representations (copies) of control data that retain all necessary information for audio recovery. Instead of transmitting full-precision control parameters, the system transmits compressed entropy-coded versions that can be accurately decoded to reconstruct the original control data needed for audio signal recovery
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 a reference value corresponding to a plurality of data and a difference value corresponding to the reference value and entropy-decoding the difference value and obtaining the data using the reference value and the entropy-decoded difference value.