PATENT CLAIM ANALYSIS

Application Number: 15758640
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["375", "340000"]

Abstract:
The present invention relates to a 5th-generation (5G) or pre-5G communication system, which is to be provided for supporting a higher data transmission rate after the 4th-generation (4G) communication system, such as long term evolution (LTE). The present invention provides a method for receiving a signal in a multi-carrier system, the method comprising the steps of: performing, with respect to an input signal, a waveform pre-processing operation on the basis of at least one of an equalizing operation and a filtering operation; checking whether the waveform pre-processed signal is a Gaussian proximity signal; and performing soft-de-mapping with respect to the waveform pre-processed signal on the basis of a result of the checking.

Claim (Index 10):
The method of  claim 1 , wherein performing of the soft de-mapping with respect to the waveform pre-processed signal based on the result of the checking comprises:\n performing whitening with respect to the waveform pre-processed signal, if the waveform pre-processed signal is not the Gaussian proximity signal; and performing non-Gaussian soft de-mapping with respect to the whitened signal, based on a sum of interference and noise.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 90.0
- Lexical Diversity: 1.82857
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15577739', '10423655', '15680942', '15545672', '15449794']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4473068412098452
- 35 USC 102 Novelty (BERT): 0.5042967175368713
- Combined Prediction Score: 0.4530058288425478
- Mean Citation Score: 184.850794
- Max Citation Score: 197.85619
- Similarity Product: 126.23499928775011

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