Pilot-Based Signal Coding with Grouped Reference and Difference Values
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current signal processing techniques for audio and video data compression and transmission in complex communication environments do not maximize transmission efficiency, leaving room for improvement in data coding and encoding methods.
Innovation Solution
The proposed method involves grouping data into sets to obtain a group reference value and a difference value, using these values for efficient encoding and decoding, and applying various coding schemes like Pulse Code Modulation (PCM), Pilot Based Coding (PBC), and Differential Coding (DIFF) to optimize data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional signal processing techniques are used for audio and video data compression, then basic compression is achieved, but transmission efficiency is not maximized in complex communication environments
Solution Approach 1:
The patent divides data into multiple groups with different data numbers (first group, second group, etc.) and applies different coding schemes to each group based on their specific characteristics. This segmentation allows the system to optimize transmission efficiency for each group individually, adapting to complex communication environments more effectively than conventional uniform compression techniques.
Solution Approach 2:
The patent dynamically selects coding schemes (PCM, PBC, DIFF) based on the data number and group characteristics. The coding scheme selection is not static but adapts to the specific communication conditions and data properties, enabling maximization of transmission efficiency in varying complex communication environments.
2Loss of substance
If data is grouped with larger group sizes, then compression rate is improved, but coding complexity and processing overhead increase
Solution Approach 1:
The patent applies coding schemes selectively based on data number thresholds. For groups with data numbers meeting specific criteria (e.g., data number ≥ 3 for PBC, data number ≥ 2 for DIFF), the corresponding coding scheme is applied. This partial application approach achieves compression benefits where applicable while avoiding unnecessary complexity in groups where simpler coding is sufficient.
3Productivity
If multiple coding schemes (PCM, PBC, DIFF) are applied based on data number, then transmission efficiency is optimized, but device complexity and processing overhead increase
Solution Approach 1:
The patent uses the data number as a key parameter to determine which coding scheme to apply. By changing the parameter (data number) and comparing it against predefined thresholds, the system automatically selects the appropriate coding scheme. This parameter-based decision mechanism simplifies the complexity of multiple coding schemes by providing clear, rule-based selection criteria.
Data Source
AI summary
Data coding and entropy coding are performed with interconnection, and grouping is used to enhance coding efficiency. The present invention includes the steps of obtaining a group reference value corresponding to a plurality of data included in one group through first grouping and external grouping for the first grouping and a difference value corresponding to the group reference value and obtaining the data using the group reference value and the difference value.