18242834. DECODING DEVICE AND DECODING METHOD USING LOW-DENSITY PARITY CHECK CODE INCLUDING CODE DIFFERENT FROM SINGLE PARITY CHECK CODE simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 DECODING DEVICE AND DECODING METHOD USING LOW-DENSITY PARITY CHECK CODE INCLUDING CODE DIFFERENT FROM SINGLE PARITY CHECK CODE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DECODING DEVICE AND DECODING METHOD USING LOW-DENSITY PARITY CHECK CODE INCLUDING CODE DIFFERENT FROM SINGLE PARITY CHECK CODE - 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
DECODING DEVICE AND DECODING METHOD USING LOW-DENSITY PARITY CHECK CODE INCLUDING CODE DIFFERENT FROM SINGLE PARITY CHECK CODE
Organization Name
Inventor(s)
Youngjun Hwang of Suwon-si (KR)
DECODING DEVICE AND DECODING METHOD USING LOW-DENSITY PARITY CHECK CODE INCLUDING CODE DIFFERENT FROM SINGLE PARITY CHECK CODE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18242834 titled 'DECODING DEVICE AND DECODING METHOD USING LOW-DENSITY PARITY CHECK CODE INCLUDING CODE DIFFERENT FROM SINGLE PARITY CHECK CODE
Simplified Explanation
The patent application relates to a decoding device and method for decoding a received codeword by estimating the number of errors in the codeword and using parity check matrices from different low-density parity check (LDPC) codes to decode it.
- The decoding device and method involve receiving a codeword, estimating the number of errors in the codeword, and decoding it using either a first parity check matrix corresponding to a first LDPC code or a second parity check matrix corresponding to a second LDPC code, based on the estimated number of errors.
- The first parity check matrix is based on a first code type, while the second parity check matrix is based on a second code type different from the first code type.
Potential Applications
This technology can be applied in:
- Telecommunications for error correction in data transmission.
- Storage systems for data recovery and error detection.
Problems Solved
This technology solves the problem of efficiently decoding codewords with errors by using different parity check matrices based on different LDPC codes.
Benefits
- Improved error correction capabilities.
- Enhanced reliability in data transmission and storage systems.
Potential Commercial Applications
"Error Correction Technology for Enhanced Data Reliability" can be used in:
- Telecommunication companies for improving data transmission quality.
- Data storage companies for ensuring data integrity and reliability.
Possible Prior Art
One example of prior art in this field is the use of LDPC codes for error correction in communication systems, which has been widely studied and implemented in various applications.
Unanswered Questions
How does the device estimate the number of errors in the received codeword accurately?
The abstract does not provide details on the specific method used for error estimation in the decoding process.
What are the specific differences between the first and second code types that result in the use of different parity check matrices?
The abstract mentions that the first and second parity check matrices are based on different code types, but it does not elaborate on the specific differences between these code types.
Original Abstract Submitted
A decoding device and a decoding method which relate to: receiving a codeword; estimating a number of errors included in the received codeword; and decoding the codeword based on the estimated number of errors using at least one of a first parity check matrix and a second parity check matrix, wherein the first parity check matrix corresponds to a first low-density parity check (LDPC) code, and the second parity check matrix corresponds to a second LDPC code, and wherein the first parity check matrix is based on a first code type, and the second parity check matrix is based on a second code type different from the first code type.
