Spectral Peak Position Coding With Adaptive Delta and Sparse Switching
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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
1Device complexity
If a single lossless coding scheme is used for spectral peak positions, then the coding process is simple, but the number of bits required is excessive
Solution Approach 1:
The patent segments the spectral peak position coding into two distinct schemes: one for periodic/semi-periodic distributions and another for sparse distributions. The encoder selects the appropriate scheme based on the actual distribution type, thereby optimizing bit usage for each case rather than using a single suboptimal scheme for all cases.
Solution Approach 2:
The patent introduces dynamic selection between two coding schemes based on the characteristics of the spectral peak distribution. The encoder determines which scheme is more suitable by analyzing the distribution pattern and switches accordingly, making the coding system adaptive rather than static.
2Quantity of substance
If delta coding is used for periodic spectral peaks, then coding efficiency is high, but it performs poorly for sparse distributions
Solution Approach 1:
The patent changes the coding parameter (coding scheme selection) based on the distribution characteristic parameter. When the spectral peaks exhibit periodic distribution, delta coding is applied; when they exhibit sparse distribution, sparse coding is applied. This parameter-based adaptation optimizes performance for different distribution types.
3Quantity of substance
If sparse coding is used for sparse spectral peaks, then bit consumption is reduced, but it is inefficient for periodic distributions
Solution Approach 1:
The patent implements dynamic scheme selection where the encoder analyzes the spectral peak distribution and adaptively chooses between sparse coding and delta coding. This ensures that sparse coding is only applied when appropriate (for sparse distributions), maintaining both bit efficiency and position accuracy.
4Ease of manufacture
If conventional audio coding is used, then implementation is straightforward, but spectral peak encoding consumes excessive bits
Solution Approach 1:
The patent segments the coding process into distribution analysis and scheme selection phases. The encoder first determines the distribution type of spectral peaks, then applies the appropriate coding scheme. This segmented approach adds minimal complexity while significantly reducing bit consumption compared to conventional uniform coding.
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.