PATENT CLAIM ANALYSIS

Application Number: 15990180
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["714", "762000"]

Abstract:
Embodiments of the present disclosure provide an FEC coding and decoding method and device, and a system. A transmit end determines a forward error correction FEC coding type according to a length of to-be-coded data in burst data, and performs coding according to the determined FEC coding type. A receive end determines a forward error correction FEC decoding type according to a length of to-be-decoded data in burst data, and performs decoding according to the determined FEC decoding type. The FEC coding and decoding method provided in the embodiments of the present disclosure improves utilization of a communication resource is improved, and saves a communication resource.

Claim (Index 7):
A method of decoding data, wherein the method is implemented by a receive device and comprises:\n receiving data from a transmit device; and decoding the data by: performing one-codeword forward error correction (FEC) decoding on to-be-decoded data according to a first FEC decoding type, when the to-be-decoded data is not entirely decoded, continually performing one-codeword FEC decoding on the remaining to-be-decoded data by using a second FEC decoding type, wherein a length of parity bits of the first FEC coding type is longer than a length of parity bits of the second FEC coding type.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 93.0
- Lexical Diversity: 2.47826
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14864338', '14949348', '14319729', '14193018', '15729110']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.293440770561334
- 35 USC 102 Novelty (BERT): 0.5794624151463935
- Combined Prediction Score: 0.32204293501984
- Mean Citation Score: 295.423582
- Max Citation Score: 484.02094000000005
- Similarity Product: 406.5375621000266

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test