PATENT CLAIM ANALYSIS

Application Number: 15876910
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["375", "340000"]

Abstract:
Frequency domain (FDTF) and time domain (TDTF) trans-filters compress in-band AWGN, demodulate input signals and have no threshold due to applied noise. Two parallel frequency selective networks with opposite amplitude vs frequency slopes are designed to remain 180 degrees out of phase over the signal band in the FDTF whereas two parallel delay networks are used in the TDTF. Output amplitudes are equal at band center and are summed producing a monotonic amplitude vs frequency characteristic going thru zero at center frequency with abrupt phase reversal. This produces the parabolic output noise density and differentiates applied signals. Absence of nonlinear circuit components and product devices prevents generation of noise×noise products, avoiding the threshold phenomenon. Exponentially modulated digital signals produce output impulses due to the slope and abrupt phase reversal. The impulses have strong fundamental frequency components and may be recovered at baseband without frequency conversion. Cascading trans-filters increases noise reduction and impulse amplitude. The trans-filter algorithm may be used separately or in conjunction with one or more hardware trans-filters.

Claim (Index 12):
The method of  claim 10  wherein each one of said parallel paths comprises a respective time delay, D 1  and D 2 , and wherein said predetermined parameter comprises a difference between D 1  and D 2  being equal to a reciprocal of twice said center frequency of said filter.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 1.65766
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15127472', '13400019', '14997504', '11220399', '14697574']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4999409939313353
- 35 USC 102 Novelty (BERT): 0.5617323576428636
- Combined Prediction Score: 0.5061201303024881
- Mean Citation Score: 254.98045800000008
- Max Citation Score: 465.2411
- Similarity Product: 330.77653405835633

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