Entropy Average Coding Tagging for Redundant Bit Elimination
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Solution Overview
Problem
Multiple layered communication technologies repetitively encode source contents, leading to unnecessary bit addition and reduced entropy coding effectiveness, causing inefficiencies in bit rate, processing power, and channel capacity utilization.
Innovation Solution
Implementing an entropy average coding method that produces a condensed signal by encoding the signal to make entropy consistent and adding a unique, universal tag to the entropy coded bit stream, preventing subsequent entropy averaging and reducing redundant coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple layered coding algorithms are applied to source contents, then error protection and multiple access purposes are achieved, but unnecessary bits are added and entropy coding effectiveness is reduced
Solution Approach 1:
The patent applies entropy coding at the source coding layer before channel coding, and introduces a detection mechanism that reads a tag in the coded contents to prevent repeated entropy coding at upper layers. This preliminary action ensures that entropy coding is performed only once, avoiding redundant bit generation while maintaining error protection through subsequent channel coding layers.
Solution Approach 2:
The patent introduces a tag as an intermediary element that is inserted into the coded contents after entropy coding. This tag serves as a marker to indicate that entropy coding has already been applied, allowing upper layer processing to recognize and avoid redundant entropy coding operations, thus preventing unnecessary bit addition.
2Adaptability or versatility
If repeated entropy coding is applied at multiple layers, then standard conforming and interoperability are achieved, but processing power and time are wasted
Solution Approach 1:
The patent implements a feedback mechanism where a tag is inserted into the coded contents to provide information about the coding state. Upper layer processors read this tag and use it to determine whether entropy coding has already been applied, thereby avoiding redundant processing. This feedback loop maintains standard conformity while significantly improving processing efficiency by eliminating repeated entropy coding operations.
3Productivity
If multiple layered source coding and channel coding are applied, then channel efficiency is improved, but unnecessary bits are added to originally entropy coded contents
Solution Approach 1:
The patent applies entropy coding as a preliminary step in the source coding layer before channel coding, and introduces a detection mechanism that reads a tag in the coded contents to prevent repeated entropy coding at upper layers. This preliminary action ensures that entropy coding is performed only once, avoiding redundant bit generation while maintaining error protection through subsequent channel coding layers.
Solution Approach 2:
The patent introduces a tag as an intermediary element that is inserted into the coded contents after entropy coding. This tag serves as a marker to indicate that entropy coding has already been applied, allowing upper layer processing to recognize and avoid redundant entropy coding operations, thus preventing unnecessary bit addition.
Data Source
AI summary
Embodiments herein provide a method and apparatus for recognition and tagging of multiple layered entropy coding system. The method comprises receiving a signal and performing entropy average coding to produce an entropy coded bit stream. Next, the method adds a tag to a beginning portion of the entropy coded bit stream. The tag comprises a plurality of headers, wherein each of the headers differs from one another, and wherein the headers comprise an elongated bit stream. Following this, the method reads the tag when processing the entropy coded bit stream and avoids subsequent entropy averaging on the entropy coded bit stream when the tag is present. The avoiding of the subsequent entropy averaging avoids unnecessary coding and entropy averaging of the entropy coded bit stream.