PATENT CLAIM ANALYSIS

Application Number: 15954205
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["375", "230000"]

Abstract:
Systems and methods are disclosed for detecting sequences of symbols in a received signal in the presence of inter-symbol interference. Maximum Likelihood Sequence Detection (MLSD) is a known method for optimum detection of such sequences. To reduce the complexity of the MLSD, a Reduced-State Sequence Detection (RSSD) technique has been considered based on partitioning the states of the MLSD. In this approach, a simplified sequence detector is placed within a global decision feedback loop. The disclosed architecture shortens the feedback loop by moving the sequence detector outside the loop and converting the interaction between the two to a feed-forward manner. This is achieved through slicing the signal and closing a nested loop around the sliced bins. A further variant simplifies the detector even more by reducing the number of bins.

Claim (Index 17):
The method of  claim 16 , wherein the hyper-state outcome information comprises estimated outcome information estimating a likely state within at least one hyper-state of the reduced state sequence.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 91.0
- Lexical Diversity: 1.625
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15251673', '10563084', '15915238', '15251638', '11517435']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4660222728845433
- 35 USC 102 Novelty (BERT): 0.5140517587357123
- Combined Prediction Score: 0.4708252214696602
- Mean Citation Score: 221.317968
- Max Citation Score: 250.16928
- Similarity Product: 163.2265466221619

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