Samsung electronics co., ltd. (20240137048). SOFT REED-SOLOMON DECODER FOR A NON-VOLATILE MEMORY simplified abstract
Contents
- 1 SOFT REED-SOLOMON DECODER FOR A NON-VOLATILE MEMORY
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SOFT REED-SOLOMON DECODER FOR A NON-VOLATILE MEMORY - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SOFT REED-SOLOMON DECODER FOR A NON-VOLATILE MEMORY
Organization Name
Inventor(s)
Ariel Doubchak of Herzliya (IL)
SOFT REED-SOLOMON DECODER FOR A NON-VOLATILE MEMORY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240137048 titled 'SOFT REED-SOLOMON DECODER FOR A NON-VOLATILE MEMORY
Simplified Explanation
A soft-decision decoding method for error correction in received words is described in the patent application. The method involves computing syndrome polynomials, finding solutions to key equations, determining error locator polynomial candidates, and correcting errors in the received word.
- The method computes a first syndrome polynomial based on the received word.
- A second syndrome polynomial is computed by multiplying the first syndrome polynomial with a locator polynomial determined by erasure locations in the received word.
- A basis and private solution to an affine space of polynomials are found to solve key equations based on the second syndrome polynomial.
- A weak set of symbol locations in the received word is determined with confidence below a certain level.
- A matrix is computed from the basis, private solution, and weak set.
- Sub-matrices in the matrix with ranks equal to the overall rank are identified.
- Error locator polynomial candidates are determined from the sub-matrices, basis, and private solution.
- The received word is corrected using a selected error locator polynomial candidate.
Potential Applications
This technology can be applied in:
- Wireless communication systems
- Data storage systems
- Satellite communication systems
Problems Solved
- Correcting errors in received data
- Improving data transmission reliability
Benefits
- Enhanced error correction capabilities
- Increased data accuracy
- Improved overall system performance
Potential Commercial Applications
Optimized for SEO: "Error Correction Technology for Data Storage Systems"
Possible Prior Art
No prior art information is available at this time.
Unanswered Questions
How does this method compare to existing error correction techniques?
The article does not provide a direct comparison with other error correction methods. It would be helpful to understand the specific advantages and limitations of this approach compared to traditional techniques.
What impact does the confidence level of the weak set determination have on the overall error correction process?
The article mentions determining a weak set with confidence below a certain level, but it does not delve into the implications of this confidence level on the effectiveness of error correction. Understanding the relationship between confidence levels and error correction accuracy would provide valuable insights.
Original Abstract Submitted
a soft-decision decoding computes a first syndrome polynomial in accordance with a received word, computes a second syndrome polynomial by multiplying the first syndrome polynomial by a locator polynomial based on locations of erasures within the received word, finds a basis and private solution to an affine space of polynomials that solve key equations based on the second syndrome polynomial, determines a weak set of a locations of symbols in the received word with confidence below a certain confidence level, computes a matrix from the basis, the private solution and the weak set, determines sub-matrices in the matrix whose rank is equal to a rank of the matrix, determines error locator polynomial (elp) candidates from the sub-matrices, the basis, and the private solution, and corrects the received word using a selected one of the elp candidates.
