Adaptive Transition Segment Length for Stereo Signal Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing stereo signal encoding methods suffer from poor smoothness in the transition between real and manually reconstructed signals due to the use of fixed-length transition segments, leading to inaccuracies in energy consistency and linear prediction analysis.
Innovation Solution
The method involves determining an adaptive length for the transition segment based on the inter-channel time difference and initial length, and using a gain modification factor to generate a transition segment signal that ensures smoother transitions and improved energy consistency between real and reconstructed signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed-length transition segment is used for delay alignment processing, then the encoding process is simple, but the smoothness of transition between real signal and manually reconstructed forward signal is poor
Solution Approach 1:
The transition segment length is changed from fixed to adaptive/dynamic based on the inter-channel time difference magnitude. When the time difference is large, a longer transition segment is used; when the time difference is small, a shorter transition segment is used. This dynamic adjustment resolves the contradiction by optimizing transition smoothness for each specific case while maintaining operational simplicity through automated adaptation.
Solution Approach 2:
The length parameter of the transition segment is changed adaptively based on the inter-channel time difference. By modifying this parameter according to the specific signal characteristics, the system achieves better transition smoothness without requiring complex manual intervention, thus resolving the contradiction between simplicity and precision.
2Productivity
If a fixed-length transition segment is used, then the processing is efficient, but the energy consistency between real signal and reconstructed signal is inaccurate
Solution Approach 1:
The transition segment length is dynamically adjusted based on the inter-channel time difference to optimize energy consistency. This adaptive approach ensures that the transition segment is long enough to maintain energy consistency when needed, while keeping the processing efficient by avoiding unnecessarily long segments when the time difference is small.
Solution Approach 2:
The length parameter of the transition segment is changed adaptively based on signal characteristics (inter-channel time difference). This parameter modification allows the system to achieve accurate energy consistency measurement by matching the transition segment length to the specific signal conditions, thereby resolving the contradiction between efficiency and precision.
3Device complexity
If a fixed-length transition segment is used, then the computational complexity is low, but the accuracy of linear prediction analysis is reduced
Solution Approach 1:
The transition segment length is dynamically adapted based on the inter-channel time difference to optimize linear prediction analysis accuracy. By adjusting the length according to specific signal conditions, the system achieves higher accuracy only when necessary, thereby maintaining low computational complexity overall while improving accuracy when the signal characteristics require it.
Solution Approach 2:
The length parameter of the transition segment is modified adaptively based on signal characteristics. This parameter change allows the system to achieve accurate linear prediction analysis by ensuring the transition segment is appropriately sized for the specific inter-channel time difference, resolving the contradiction between low complexity and high accuracy.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method and an apparatus for reconstructing a signal during stereo signal encoding are provided. The method includes: determining a reference sound channel and a target sound channel in a current frame (310); determining an adaptive length of a transition segment in the current frame based on an inter-channel time difference in the current frame and an initial length of the transition segment in the current frame (320); determining a transition window in the current frame based on the adaptive length of the transition segment in the current frame (330); determining a gain modification factor of a reconstructed signal in the current frame (340); and determining a transition segment signal on the target sound channel in the current frame based on the inter-channel time difference in the current frame, the adaptive length of the transition segment in the current frame, the transition window in the current frame, the gain modification factor in the current frame, and a reference sound channel signal and a target sound channel signal in the current frame (350). This can implement smoother transition between a real stereo signal and a manually reconstructed forward signal.