Pilot-Based Audio Coding With Grouped Entropy 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 processing schemes to enhance data coding and decoding methods.
Innovation Solution
The proposed apparatus and method involve entropy-decoding index information and difference values using dedicated entropy tables, reconstructing audio signals, and employing data grouping and encoding schemes like Pulse Code Modulation (PCM), Pilot-Based Coding (PBC), and Differential Coding (DIFF) to optimize data transmission efficiency.
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 audio signal processing into multiple independent coding schemes (PCM, PBC, DIFF) that can be selectively applied to different data groups. This segmentation allows the system to adapt to varying communication conditions by choosing appropriate coding methods for different segments, thereby maximizing transmission efficiency in complex environments.
Solution Approach 2:
The patent implements dynamic selection of coding schemes based on communication environment conditions. The system can dynamically switch between PCM, PBC, and DIFF coding methods and adjust entropy table selections according to real-time channel conditions, enabling optimal transmission efficiency under varying complexity levels.
2Measurement precision
If data is encoded using detailed entropy-decoding with dedicated entropy tables, then coding precision is improved, but processing complexity increases
Solution Approach 1:
The patent applies different entropy tables and coding precision levels to different data groups based on their specific characteristics. Instead of using a single high-precision entropy decoding method for all data, the system selects appropriate entropy tables locally for each data group, maintaining coding precision where needed while reducing processing complexity elsewhere.
Solution Approach 2:
The patent changes the parameters of the entropy coding process by using multiple dedicated entropy tables with different characteristics. The system selects and switches between these tables based on data properties and communication conditions, optimizing the balance between coding precision and processing complexity through parameter adjustment rather than structural complexity.
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 difference value and index information and entropy-decoding the index information and identifying an entropy table corresponding to the entropy-decoded index information and entropy-decoding the difference value using the identified entropy table and obtaining data using a reference value corresponding to a plurality of data and the decoded difference value.