PATENT CLAIM ANALYSIS

Application Number: 15761212
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["375", "343000"]

Abstract:
An apparatus and method are provided for processing a received input signal comprising a sequence of data blocks. Counter circuitry within the apparatus is arranged to receive a digital representation of the input signal, and for each data block generates a count value indicative of occurrences of a property of the digital representation (for example a rising edge or a falling edge) during an associated data block transmission period. Quantization circuitry then maps each count value to a soft decision value from amongst a predetermined set of soft decision values, where the number of soft decision values in the predetermined set exceeds a number of possible data values of the data block. The output circuitry then generates a digital output signal in dependence on the soft decision values. Such an apparatus has been found to provide a low power technique for a receiver, whilst still enabling the improved sensitivity benefits of using soft decisions to be achieved, and allows the apparatus to be constructed using all digital components.

Claim (Index 8):
An apparatus as claimed in  claim 7 , wherein said conversion circuitry comprises an amplifying comparator circuit.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 90.0
- Lexical Diversity: 1.96703
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13357907', '13789903', '14861458', '10511648', '14220037']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4820289473091373
- 35 USC 102 Novelty (BERT): 0.4921586791744883
- Combined Prediction Score: 0.4830419204956725
- Mean Citation Score: 157.537018
- Max Citation Score: 165.17828
- Similarity Product: 103.54293176566124

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test