Input Vector Segmentation for Energy-Adaptive Positional Coding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for positional coding of audio/video signals face inefficiencies due to large codeword indices and varying energy content across input vector segments, leading to complex and inefficient processing.
Innovation Solution
A method for non-recursive segmentation of input vectors into equal-sized segments, followed by recursive determination of relative energy differences between segments, allowing for efficient coding by distributing bits based on energy and segment length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional clustering is used to reduce complexity, then device complexity is reduced, but manufacturing precision deteriorates because different parts of the input vector have very different sizes making positional coding inefficient
Solution Approach 1:
The input vector is divided into multiple segments of equal length, where each segment is processed separately through the clustering and positional coding process. This segmentation ensures that each segment maintains a manageable size for efficient coding while collectively representing the entire input vector, thereby resolving the contradiction between complexity reduction and coding efficiency.
Solution Approach 2:
Different segments of the input vector are allowed to have different energy characteristics and are processed with segment-specific parameters. The method determines relative energy differences between segments and uses this information to optimize the coding process for each segment individually, improving overall coding efficiency while maintaining low complexity through localized processing.
2Manufacturing precision
If the input vector is segmented into equal-sized segments, then manufacturing precision is improved for positional coding, but device complexity increases due to the need to determine relative energy differences between segments
Solution Approach 1:
The method performs preliminary energy analysis by determining the relative energy differences between segments before the main positional coding process. This preliminary action allows the subsequent coding stages to use optimized parameters for each segment, improving coding efficiency while the pre-computed energy information reduces the complexity of the main coding process by providing advance guidance.
Solution Approach 2:
The method changes processing parameters based on the energy characteristics of each segment. By determining relative energy differences and using this information to adjust coding parameters for different segments, the system achieves efficient positional coding adapted to local energy conditions without requiring overly complex processing, as the parameter changes are systematic and rule-based.
Data Source
AI summary
A method for partitioning of input vectors for coding is presented. The method comprises obtaining of an input vector. The input vector is segmented, in a non-recursive manner, into an integer number, NSEG, of input vector segments. A representation of a respective relative energy difference between parts of the input vector on each side of each boundary between the input vector segments is determined, in a recursive manner. The input vector segments and the representations of the relative energy differences are provided for individual coding. Partitioning units and computer programs for partitioning of input vectors for coding, as well as positional encoders, are presented.