PATENT CLAIM ANALYSIS

Application Number: 15757003
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["341", "118000"]

Abstract:
Examples disclosed herein relate to averaging modules. For example, a method may include obtaining, by an analog-to-digital converter (ADC), a plurality of samples of an input analog signal. The method may also include determining, by an averaging module, a sum value of the plurality of samples, such that a set of most significant bits of the sum value represent an average value of the plurality of samples. The method may further include determining the average value based at least on the set of most significant bits, and outputting the average value to a bus coupled to a memory module.

Claim (Index 1):
An electronic device comprising:\n an analog-to-digital converter (ADC) to output a plurality of values; an averaging module comprising an accumulator and a rounding correction module, wherein:\n the accumulator is to obtain the plurality of values and to output a sum value of the plurality of values, the sum value being represented by a plurality of bits, and \n the rounding correction module is to generate a correction value based on a set of least significant bits of the plurality of bits, and to generate an average value based on the correction value and a set of most significant bits of the plurality of bits.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 2.07407
- Patent Class: 341.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12777734', '14735386', '10663729', '12962093', '12362569']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5496940434110298
- 35 USC 102 Novelty (BERT): 0.467513533717302
- Combined Prediction Score: 0.541475992441657
- Mean Citation Score: 136.846426
- Max Citation Score: 149.19058
- Similarity Product: 115.50161632305858

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