PATENT CLAIM ANALYSIS

Application Number: 15994285
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-02
Patent Classification: ["375", "226000"]

Abstract:
A phase error detection module includes: a constellation point selector, generating a constellation point selection signal according to a position and a radius of data of an input signal in a constellation diagram; a symbol estimator, selecting a part of all of a plurality of constellation points in the constellation diagram according to the constellation point selection signal, as a plurality of reference constellation points for calculating an estimated symbol corresponding to the data of the input signal, and a quantity of the reference constellation points is smaller than a quantity of all of the constellation points of the constellation diagram; and a phase estimator, calculating an estimated phase error of the input signal according to the data of the input signal and the estimated symbol.

Claim (Index 6):
The phase error detection method according to  claim 5 , wherein the step of selecting, according to the constellation point selection signal, the part of all of a plurality of constellation points of the constellation diagram, as the plurality of reference constellation points for calculating the estimated symbol corresponding to the data of the input signal comprises:\n selecting the plurality of reference constellation points from all of the plurality of constellation points according to the constellation point selection signal; and generating the estimated symbol by means of a minimum mean squared algorithm based on the plurality of constellation points.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.93478
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10737323', '12996522', '12624424', '15685205', '10607406']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5079533528758261
- 35 USC 102 Novelty (BERT): 0.4655032138754862
- Combined Prediction Score: 0.5037083389757921
- Mean Citation Score: 182.712946
- Max Citation Score: 184.37613
- Similarity Product: 154.01715631062268

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

Dataset: test