20240022262.Scheduling of iterative decoding depending on soft inputs simplified abstract (apple inc.)
Contents
- 1 Scheduling of iterative decoding depending on soft inputs
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Scheduling of iterative decoding depending on soft inputs - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology compare to existing error correction decoding algorithms in terms of efficiency and accuracy?
- 1.11 What are the potential limitations or drawbacks of implementing this decoder in practical applications?
- 1.12 Original Abstract Submitted
Scheduling of iterative decoding depending on soft inputs
Organization Name
Inventor(s)
Yonathan Tate of Kfar Saba (IL)
Scheduling of iterative decoding depending on soft inputs - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240022262 titled 'Scheduling of iterative decoding depending on soft inputs
Simplified Explanation
The decoder described in the patent application is designed to decode a code word encoded using an error correction code (ECC) by applying a sequence of iterations. The decoder includes multiple variable-node circuits (VNCs) that hold variables of the ECC and circuitry to process these variables based on reliability levels assigned to them.
- The decoder includes circuitry and multiple variable-node circuits (VNCs).
- The VNCs hold variables of an error correction code (ECC) representable by check equations.
- The circuitry decodes a code word with m-bit values using the ECC and reliability levels assigned to the variables.
- The decoder applies a sequence of iterations to decide which VNCs to process based on reliability levels.
- The circuitry makes decisions on updating variables within VNCs during processing.
Potential Applications
The technology described in this patent application could be applied in various fields such as telecommunications, data storage, and networking where error correction is crucial for maintaining data integrity.
Problems Solved
This technology addresses the challenge of efficiently decoding code words encoded with error correction codes by optimizing the processing of variables based on reliability levels.
Benefits
The benefits of this technology include improved error correction capabilities, enhanced data reliability, and more efficient decoding processes for complex error correction codes.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced error correction systems for high-speed data transmission in telecommunications networks.
Possible Prior Art
One possible prior art for this technology could be existing error correction decoding algorithms used in communication systems and data storage devices.
Unanswered Questions
How does this technology compare to existing error correction decoding algorithms in terms of efficiency and accuracy?
The patent application does not provide a direct comparison with existing error correction decoding algorithms, leaving the question of how this technology stacks up against current solutions.
What are the potential limitations or drawbacks of implementing this decoder in practical applications?
The patent application does not address any potential limitations or drawbacks of implementing this decoder in real-world scenarios, leaving this question unanswered.
Original Abstract Submitted
a decoder includes circuitry and multiple variable-node circuits (vncs). the vncs individually hold one or more variables of an error correction code (ecc) that is representable by a plurality of check equations defined over the variables. the circuitry is configured to receive a code word including variables having m-bit values that was encoded using the ecc, to further receive reliability levels assigned respectively to the variables, to decode the code word by applying to the code word a sequence of iterations, including deciding in a given iteration whether a given vnc is to be processed or skipped in that iteration, depending on the reliability levels assigned to the variables of the given vnc, and, when the given vnc is selected for processing, to make a decision whether or not to update one or more of the variables of the given vnc, and to apply the decision by the given vnc.
