PATENT CLAIM ANALYSIS

Application Number: 15957657
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["708", "446000"]

Abstract:
The present disclosure relates to methods and systems for signal processing using coordinate descent technique for solving technical implementation problems that are expressed as unit-modulus least squares (UMLS) and unit-modulus quadratic program (UMQP) problems. Embodiments provide for iteratively minimizing an objective function of a signal vector associated with a UMLS/UMQP problem expression over a set of coordinates of the signal vector to a convergence point. The objective function is minimized with respect to a vector element corresponding to a selected coordinate index, while other vector elements that do not correspond to the selected coordinate index are fixed. Accordingly, at each iteration, minimizing the objective function involves a solution to a one-dimensional univariate quadratic minimization. Embodiments also provide various coordinate index selection rules that include a cyclic CD rule (CCD), a randomized CD rule (RCD), randomly permuted CD rule (RPCD), and a greedy CD rule (CCD).

Claim (Index 5):
The method of  claim 1 , wherein selecting the coordinate index includes selecting the coordinate index based on a randomly permuted rule in which the coordinate index is randomly selected, at each iteration of the operations, from the set of coordinate index values, and wherein each coordinate index value in the set of coordinate index values is selected only once per cycle, the cycle corresponding to a number of iterations equal to a number of coordinate index values in the set of coordinate index values.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.80645
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15344279', '10399848', '14642904', '15952864', '12853886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3901381013262578
- 35 USC 102 Novelty (BERT): 0.4961622273320573
- Combined Prediction Score: 0.4007405139268377
- Mean Citation Score: 158.440458
- Max Citation Score: 165.73698000000005
- Similarity Product: 112.69617860245228

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