Spectral Peak Position Coding for Variable Audio Peak Distributions
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Solution Overview
Problem
Conventional methods for encoding spectral peak positions in audio signals are inefficient due to the abrupt changes and varying distributions of peak positions, leading to excessive bit consumption.
Innovation Solution
Employing a closed-loop decision logic to switch between delta coding and sparse coding schemes based on the distribution of spectral peaks, using delta coding for periodic or semi-periodic distributions and sparse coding for sparse distributions, optimizing Huffman tables for efficient bit usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a single lossless coding scheme is used for spectral peak positions, then the coding structure is simple, but the bit consumption is excessive due to inability to adapt to varying peak distributions
Solution Approach 1:
The patent implements dynamic adaptability by providing two different lossless coding schemes (first for periodic/semi-periodic distributions, second for sparse distributions) and selecting the appropriate scheme based on the actual spectral peak distribution characteristics. This allows the coding system to adapt its behavior to match the specific pattern of spectral peaks, thereby reducing bit consumption without requiring a complex universal coding scheme.
2Productivity
If delta coding is used for periodic spectral peaks, then coding efficiency is high for periodic patterns, but performance degrades for sparse distributions
Solution Approach 1:
The patent applies local quality by providing specialized coding schemes tailored to specific spectral peak distribution patterns. The first lossless coding scheme is optimized for periodic or semi-periodic distributions, while the second scheme is optimized for sparse distributions. By matching the coding scheme to the local characteristics of the spectral peaks, the system achieves high coding efficiency for each specific pattern without compromising overall performance.
3Productivity
If sparse coding is used for sparse spectral peaks, then coding efficiency is high for sparse patterns, but performance degrades for periodic distributions
Solution Approach 1:
The patent applies local quality by providing specialized coding schemes tailored to specific spectral peak distribution patterns. The first lossless coding scheme is optimized for periodic or semi-periodic distributions, while the second scheme is optimized for sparse distributions. By matching the coding scheme to the local characteristics of the spectral peaks, the system achieves high coding efficiency for each specific pattern without compromising overall performance.
4Loss of information
If conventional perceptual audio coding is used, then perceptually important frequencies are prioritized, but spectral peak positions consume excessive bits
Solution Approach 1:
The patent applies parameter changes by modifying the coding approach for spectral peak positions from a uniform lossless coding scheme to a selective approach using two different lossless coding schemes. By changing the coding parameter (which scheme to use) based on the distribution characteristics of spectral peaks, the system maintains accurate reconstruction of peak positions while significantly reducing the number of bits required compared to conventional approaches that use a single coding scheme for all cases.
Data Source
AI summary
A coder and decoder, and methods therein, are provided for coding and decoding of spectral peak positions in audio coding. According to a first aspect, an audio signal segment coding method is provided for coding of spectral peak positions. The method comprises determining which one out of two lossless spectral peak position coding schemes that requires the least number of bits to code the spectral peak positions of an audio signal segment; and selecting the spectral peak position coding scheme that requires the least number of bits to code the spectral peak positions of the audio signal segment. A first one of the two lossless spectral peak position coding schemes is suitable for periodic or semi-periodic spectral peak position distributions; and a second one of two lossless spectral peak position coding schemes is suitable for sparse spectral peak position distributions.