Audio Signal Coding with Pilot and Entropy Compression
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Solution Overview
Problem
Current signal processing techniques face limitations in maximizing transmission efficiency, particularly in complex communication environments, where existing methods do not fully optimize the encoding and decoding of data for efficient data compression and recovery.
Innovation Solution
The proposed solution involves an apparatus and method for signal processing that utilizes a combination of pilot coding, differential coding schemes, and entropy coding to optimize data transmission efficiency. This includes selecting a pilot reference value and generating a pilot difference value for pilot coding, and employing frequency and time differential coding schemes, along with one-dimensional and multi-dimensional entropy coding to efficiently encode and decode data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional signal processing techniques are used, then basic transmission is achieved, but transmission efficiency cannot be maximized in complex communication environments
Solution Approach 1:
The patent segments the audio signal processing into multiple independent coding schemes (transform coding, predictive coding, hybrid coding) that can be selectively applied to different frequency bands and time segments. This allows the system to optimize transmission efficiency for each segment while maintaining overall system manageability, directly addressing the contradiction between improving transmission efficiency and controlling processing complexity.
Solution Approach 2:
The patent implements dynamic selection of coding schemes and parameters based on signal characteristics, communication conditions, and bandwidth availability. The system adapts transform sizes, predictive orders, and coding modes in real-time, enabling maximum transmission efficiency under varying complex communication environments while avoiding static overly-complex processing schemes.
2Productivity
If data is encoded using multiple coding schemes, then transmission efficiency is improved, but encoding and decoding complexity increases
Solution Approach 1:
The patent applies multiple coding schemes selectively rather than universally - using transform coding for certain frequency bands, predictive coding for others, and hybrid approaches only where beneficial. This partial application of multiple coding schemes improves transmission efficiency for relevant data segments while avoiding the excessive complexity that would result from applying all coding schemes to all data uniformly.
Solution Approach 2:
The patent performs preliminary analysis of signal characteristics (stationarity, periodicity, frequency content) before selecting and applying appropriate coding schemes. This preliminary action enables the system to pre-determine the optimal coding approach, reducing runtime complexity while maintaining high transmission efficiency through targeted application of multiple coding schemes.
3Productivity
If pilot coding with reference values is used, then data compression efficiency is improved, but memory requirements and processing overhead increase
Solution Approach 1:
The patent maintains pilot reference values and performs pilot coding operations locally for specific frequency bands and time segments rather than globally for the entire audio signal. This local application of pilot coding improves compression efficiency for relevant segments while significantly reducing memory requirements compared to maintaining global reference values for all data.
Solution Approach 2:
The patent applies pilot coding selectively to portions of the audio signal where it provides the greatest compression benefit, rather than uniformly to all data. This partial application improves overall compression efficiency while avoiding the excessive memory requirements that would result from maintaining pilot reference values for the entire signal.
Data Source
AI summary
Apparatus and methods for processing a signal are disclosed. Data coding and entropy coding are performed with interconnection, and grouping is used to enhance coding efficiency. A data structure for processing a signal includes a payload part having at least one of data coding information including pilot coding information per a frame and entropy coding information. The data structure includes data coding information having information for a data coding scheme and entropy coding information having information for an entropy coding scheme and a second data part having a reference value corresponding to a plurality of data, and a difference value generated using the reference value and the data.