Bit Correlation Decoding with Alternating Input Rotations
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Solution Overview
Problem
Data processing systems often require multiple iterations through data detector and decoder circuits to recover original data, with default processing frequently yielding incorrect results, highlighting a need for advanced methods to improve data processing efficiency.
Innovation Solution
The implementation of a data processing system that applies a data decode algorithm to different rotations of a decoder input, utilizing a data detector circuit, signal set selector circuit, and data decoder circuit, where the data detection algorithm is applied to yield detected outputs, and the decoding algorithm is applied to these outputs in alternating rotations to enhance data decoding accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple iterations through data detector and decoder circuits are performed, then data recovery accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent applies preliminary actions by performing data detection and decoding operations in a predetermined sequence with specific rotation patterns. The system prepares multiple rotated versions of the input data in advance and processes them through detection and decoding circuits in an optimized iteration pattern, reducing the total processing time required to achieve accurate data recovery.
Solution Approach 2:
The patent implements periodic action through alternating between different rotation patterns (e.g., 0-degree and 90-degree rotations) across multiple iterations. The data detector and decoder circuits process data with alternating rotation angles in a periodic manner, allowing the system to leverage correlation between different bit rotations while maintaining efficient processing throughput.
2Productivity
If default processing through data decoder and detector circuits is used, then processing speed is maintained, but data recovery correctness deteriorates
Solution Approach 1:
The patent applies asymmetry by introducing rotation operations that transform the symmetric data structure into asymmetric forms. Instead of processing all data uniformly, the system applies different rotation angles (0-degree, 90-degree, and other asymmetric rotations) to different portions or iterations of the data, enabling the decoder to exploit structural asymmetries for more accurate recovery while maintaining processing efficiency.
Solution Approach 2:
The patent adds another dimension to the processing by introducing rotation as an additional transformation parameter. The system processes data not only through standard detection and decoding operations but also applies rotational transformations across multiple dimensions, creating a multi-dimensional processing approach that improves recovery correctness without significantly sacrificing processing speed.
3Measurement precision
If data decoding algorithm is applied to alternating rotations, then decoding accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the data processing into distinct segments corresponding to different rotation angles. The data detector and decoder circuits are configured to process segmented data portions with different rotations separately, then combine the results. This segmentation approach improves decoding accuracy by exploiting correlation between rotated bits while managing device complexity through modular processing stages.
Data Source
AI summary
The present invention is related to systems and methods for applying a data decode algorithm to different rotations or modifications of a decoder input as part of data processing.