PATENT CLAIM ANALYSIS

Application Number: 15985563
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["375", "376000"]

Abstract:
Systems and methods for providing improved linearity and reduced noise in a digital phase-locked loop in which a differential time-to-digital converter is implemented. Digital-to-time converters are used for adjusting a reference clock signal based on a fractional change signal and for adjusting a feedback signal based on another fractional change signal. Each fractional change signal is centered about a midpoint, M, and offset from the midpoint by a fraction, x, such that the fractional change signals can be described as (M+x) and (M−x), respectively. By implementing a differential time-to-digital converter, the sum of delays in each input path is kept constant so that integral non-linearity is improved. Supply sensitivity is also reduced, as the same supply is applied to both differential input paths. Since the differential delay can be both positive and negative, the delay range of a differential digital-to-time converter is half that of a single input digital-to-time converter.

Claim (Index 7):
The method of  claim 6 , wherein adjusting the derived signal in accordance with the second control signal comprises adjusting the selected phase signal in accordance with the second control signal.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 1.88764
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12978221', '15370796', '15869854', '15625449', '15170882']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4882760479471706
- 35 USC 102 Novelty (BERT): 0.5193215905875973
- Combined Prediction Score: 0.4913806022112134
- Mean Citation Score: 265.01081200000004
- Max Citation Score: 291.6605
- Similarity Product: 208.4265291136504

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