PATENT CLAIM ANALYSIS

Application Number: 16057822
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Techniques are described for crest factor reduction in power amplifier circuits. For example, crest factor reduction can keep the peak signal level of a signal for transmission to below a peak threshold level associated with a power amplifier in the transmission path. The signal is received by the crest factor reduction system and clipped in accordance with the peak threshold level. Edge smoothing is then applied to the clipped signal to reduce out-of-band emissions. The edge smoothing is implemented by a moving average filter, such as a time-domain box filter. In some embodiments, a maximum operation or minimum operation is used to prevent signal peak regrowth after the filtering. Some embodiments also include various iteration loops to further improve crest factor reduction.

Claim (Index 14):
The method of  claim 10 , wherein generating the filter output signal further comprises iteratively filtering the clipped portion of the input data signal by the moving average filter by:\n receiving the clipped portion of the input data signal by the moving average filter in a first iteration of a plurality of iterations; and receiving the filter output signal by the moving average filter in each of at least a second iteration of the plurality of iterations.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 96.0
- Lexical Diversity: 1.78378
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15391183', '12245047', '13687576', '15514855', '12567509']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5978554576709785
- 35 USC 102 Novelty (BERT): 0.49717233404124
- Combined Prediction Score: 0.5877871453080047
- Mean Citation Score: 239.276928
- Max Citation Score: 259.64227
- Similarity Product: 180.10654211726245

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