Audio Signal Entropy Coding with Differential Sub-Block Parameters
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Solution Overview
Problem
Current audio compression technologies, such as MP3 and AAC, prioritize efficiency over lossless reconstruction, failing to provide an open and general compression scheme for optimal quality and storability of audio signals, especially in archiving and broadband transmission.
Innovation Solution
A lossless audio coding method that partitions audio data into sub-blocks, determines code parameters, and uses entropy encoding and decoding techniques to transmit and reconstruct audio signals without loss, incorporating flexible block switching and joint channel coding for efficient compression and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lossless reconstruction is prioritized for archiving and broadband transmission, then audio quality is improved, but compression efficiency deteriorates
Solution Approach 1:
The audio signal is divided into multiple sub-blocks, allowing different compression strategies to be applied to different segments. This enables lossless coding for critical segments while using more efficient lossy coding for less critical segments, resolving the contradiction between audio quality and compression efficiency.
Solution Approach 2:
Different quality levels are applied to different parts of the audio signal based on their importance. Critical audio components are encoded with lossless precision while less critical components use compressed representation, achieving both high quality where needed and efficient compression overall.
2Productivity
If proprietary compression schemes are used in DVD audio and Super CD Audio, then compression efficiency is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements a universal audio coding framework that can operate in multiple modes (lossless, lossy, different quality levels) to serve various applications. This multi-functional approach allows the same system to be used for archiving, broadband transmission, and other applications, providing both efficiency and adaptability.
Solution Approach 2:
The coding scheme dynamically adjusts between lossless and lossy modes, and between different compression levels, based on application requirements. This dynamic adaptability allows the system to optimize for either quality or efficiency as needed, while maintaining openness through standardized interfaces.
3Measurement precision
If code parameters are directly transmitted for each sub-block, then decoding accuracy is improved, but transmission overhead increases
Solution Approach 1:
The patent transmits the first code parameter s(0) explicitly, then transmits only the differences s(i)−s(i−1) for subsequent parameters. This preliminary transmission of the base value followed by differential transmission reduces the total number of bits required while maintaining full decoding accuracy, as the receiver can reconstruct all parameters using the transmitted differences.
Solution Approach 2:
Instead of transmitting each code parameter independently, the system transmits a copy of the first parameter and then transmits only the differences (changes) from that copy. This differential encoding approach significantly reduces transmission overhead while preserving the ability to perfectly reconstruct all original parameters.
Data Source
AI summary
In one embodiment, a block of audio data is partitioned into N sub-blocks, and a plurality of code parameters s(0), s(1), . . . s(N−1) are determined. The N sub-blocks are entropy encoded using a plurality of entropy codes defined by the plurality of code parameters, and the code parameters are transmitted. The code parameters may be transmitted by directly transmitting s(0) representing the code parameter of the first sub-block, and transmitting a difference s(i)−s(i−1) for i=1, . . . N−1, s(i) representing the code parameter of an ith sub-block following the first sub-block.