Bitstream Decoding Logic Using Intermediate Bitstream Segmentation
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Solution Overview
Problem
Existing decoding methods face high costs and high bit error rates due to complex decoding logic designs.
Innovation Solution
A decoding method that simplifies logic operations by processing bitstreams to generate a fourth bitstream through logical operations on specified bits, reducing the complexity of logic circuit design and improving reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex decoding logic design is used, then decoding accuracy can be improved, but device complexity and cost increase
Solution Approach 1:
The decoding process is divided into multiple processing stages, where each stage handles specific bitstream transformations. The decoding logic is segmented into modular components that process different aspects of the encoded data separately, reducing overall complexity while maintaining accuracy.
Solution Approach 2:
An intermediate bitstream is introduced as a mediator between the encoded bitstream and the final decoded output. This intermediate representation simplifies the transformation process by breaking down complex decoding operations into simpler sequential steps, reducing the complexity of the decoding logic.
2Reliability
If complex decoding logic design is used, then decoding accuracy can be improved, but manufacturing cost increases
Solution Approach 1:
By segmenting the decoding logic into standardized modular components, the manufacturing process is simplified. Each module can be independently manufactured and tested, reducing overall manufacturing complexity and cost while maintaining high decoding accuracy through the coordinated operation of these modules.
Solution Approach 2:
The decoding approach transforms complex logical operations into parameter-based transformations on the bitstream. By changing the representation and manipulation parameters of the data rather than using complex logic circuits, the manufacturing cost is reduced while preserving decoding accuracy.
3Device complexity
If simple logic operations are used, then device complexity is reduced, but decoding capability may be limited
Solution Approach 1:
The decoding process employs continuous sequential transformations on the bitstream rather than discrete complex logic operations. Each processing stage continuously transforms the bitstream into a form closer to the original data, maintaining high decoding capability through the cumulative effect of multiple simple operations.
Solution Approach 2:
The solution moves from complex logical dimension operations to dimensional transformations of the bitstream itself. By operating on the structure and arrangement of bits rather than complex logic relationships, simple operations achieve versatile decoding capability across different encoding schemes.
Data Source
AI summary
This application discloses a decoding method, a decoding device, and a readable storage medium. The decoding method can perform a simple logic operation on the corresponding specified bits in the first bitstream, and generate the corresponding fourth bitstream accordingly to obtain information before encoding. The logic design of this decoding method is simple, which can reduce the complexity of logic circuit design and improve the reliability of decoding.