Signal Coding with Time-Frequency Grouping for Efficient Decoding
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Solution Overview
Problem
Current signal processing techniques for audio and video data compression and transmission in complex communication environments are limited in maximizing transmission efficiency, necessitating the development of new methods to enhance data coding and decoding processes.
Innovation Solution
The proposed solution involves an apparatus and method for signal processing that includes entropy decoding and data decoding using a combination of entropy coding and data coding schemes, such as pilot-based coding and differential coding, to optimize transmission efficiency by selecting appropriate coding schemes based on data characteristics and grouping methods.
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 cannot be maximized in complex communication environments
Solution Approach 1:
The patent segments the signal processing into distinct functional modules: entropy decoding unit, data decoding unit, and audio signal recovery unit. Each unit handles specific aspects of the compression and decompression process, allowing for optimized processing of different data types (control data, audio data) through specialized coding schemes while maintaining overall system efficiency
Solution Approach 2:
The patent implements dynamic selection of coding schemes based on data characteristics. The system adaptively chooses between different entropy coding schemes and data coding schemes depending on the type of data being processed (e.g., control data versus audio data), enabling optimal transmission efficiency for varying communication conditions without requiring a fixed complex structure
2Productivity
If data is compressed with high compression rates, then transmission bandwidth is reduced, but transmission efficiency and data recovery quality need enhancement
Solution Approach 1:
The patent employs feedback mechanisms where the decoded data from the data decoding unit is used to reconstruct the audio signal in the audio signal recovery unit. The system uses the decoded control data and audio data to regenerate the original audio signal, ensuring that high compression rates do not compromise recovery quality through intelligent signal reconstruction algorithms
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 difference information and entropy-decoding the difference information according to an entropy coding scheme including time grouping and frequency grouping and data-decoding the difference information according to a data decoding scheme including a pilot difference, a time difference and a frequency difference.