Spectral Coefficient Encoding with Adaptive Dual Quantization
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Solution Overview
Problem
Existing audio or speech signal encoding and decoding methods fail to adapt effectively to various bit rates and sub-band sizes in the frequency domain, limiting their efficiency and flexibility.
Innovation Solution
A method and apparatus that quantize spectral data using a first and second quantization scheme, generating a bitstream by excluding certain bits, allowing for adaptive encoding and decoding of spectral coefficients across different bit rates and sub-band sizes, utilizing a combination of uniform scalar quantization and trellis coded quantization with a bit rate control module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing encoding methods are used, then encoding can be performed, but they fail to adapt effectively to various bit rates and sub-band sizes
Solution Approach 1:
The patent implements dynamic quantization by switching between uniform scalar quantization and trellis coded quantization based on bit rate conditions. The quantization step size and method are adjusted dynamically according to the current bit rate and sub-band characteristics, enabling the system to adapt to varying transmission conditions while maintaining encoding efficiency.
Solution Approach 2:
The patent changes key parameters including quantization method selection, quantization step size, and bit allocation distribution based on bit rate conditions. By modifying these parameters adaptively, the system achieves effective encoding across different bit rates and sub-band sizes, resolving the contradiction between adaptability and efficiency.
2Adaptability or versatility
If multiple quantization schemes are used, then adaptability improves, but system complexity increases
Solution Approach 1:
The patent segments the quantization process into distinct schemes (uniform scalar quantization and trellis coded quantization) that are selected based on specific conditions. Each quantization scheme is implemented as a separate module with clear selection criteria, reducing the overall system complexity while maintaining multiple quantization options for different bit rate scenarios.
3Adaptability or versatility
If bit rate control is implemented, then encoding adaptability improves, but processing complexity increases
Solution Approach 1:
The patent performs preliminary bit rate assessment and quantization method selection before actual encoding. By determining the appropriate quantization scheme and parameters in advance based on the target bit rate, the system avoids complex real-time adjustments during encoding, thereby achieving bit rate adaptability with controlled processing complexity.
Data Source
AI summary
A spectrum coding method includes quantizing spectral data of a current band based on a first quantization scheme, generating a lower bit of the current band using the spectral data and the quantized spectral data, quantizing a sequence of lower bits including the lower bit of the current band based on a second quantization scheme, and generating a bitstream based on a upper bit excluding N bits, where N is 1 or greater, from the quantized spectral data and the quantized sequence of lower bits.