PATENT CLAIM ANALYSIS

Application Number: 15957737
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["375", "320000"]

Abstract:
In a PAM-N receiver, sampler reference levels, DC offset and AFE gain may be jointly adapted to achieve optimal or near-optimal boundaries for the symbol decisions of the PAM-N signal. For reference level adaptation, the hamming distances between two consecutive data samples and their in-between edge sample are evaluated. Reference levels for symbol decisions are adjusted accordingly such that on a data transition, an edge sample has on average, equal hamming distance to its adjacent data samples. DC offset may be compensated to ensure detectable data transitions for reference level adaptation. AFE gains may be jointly adapted with sampler reference levels such that the difference between a reference level and a pre-determined target voltage is minimized.

Claim (Index 14):
The receiver circuit of  claim 9 , wherein the reference level computation circuit is configured to increment a cumulative error value if the edge symbol is equal to the symbol immediately below a first reference voltage, decrement the cumulative error value if the edge symbol value is equal to the symbol immediately above the first reference voltage, periodically update a first error signal based on the cumulative error value, wherein an update period for updating the first error signal is longer than a sampling period for obtaining the decoded data symbols, and adjust the first reference voltage based on the first error signal.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 91.0
- Lexical Diversity: 1.75
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15528641', '10662872', '14158675', '10123370', '12624365']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4580469479617707
- 35 USC 102 Novelty (BERT): 0.5203742555503483
- Combined Prediction Score: 0.4642796787206285
- Mean Citation Score: 180.672866
- Max Citation Score: 301.12274
- Similarity Product: 225.1453732456589

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