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Results of the masking of one sinusoid by brief pulses of another sinusoid are reported as a function of the phase of the masking pulse. In one case, the brief (10-msec) masker is presented as a sine pulse; in the other case, the masker is presented as a sine pulse.
David M. Green
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A Weighted Cosine-G Family of Distributions: Properties and Illustration Using Time-to-Event Data
Modeling and predicting time-to-event phenomena in engineering, sports, and medical sectors are very crucial. Numerous models have been proposed for modeling such types of data sets.
Omalsad Hamood Odhah+3 more
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The discrete cosine transform (DCT), introduced by Ahmed, Natarajan and Rao, has been used in many applications of digital signal processing, data compression and information hiding. There are four types of the discrete cosine transform.
Jianqin Zhou
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ALGEBRAIC DERIVATION OF THE LAW OF COSINES [PDF]
n ...
Albert Babbitt
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Iterated square root expansions for the inverse cosine and inverse hyperbolic cosine [PDF]
Let R 1 = 2 + 2 x {R_1} = \sqrt {2 + 2x} , R k + 1 = | 2
Henry C. Thacher
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A New Extended Cosine—G Distributions for Lifetime Studies
In this article, we introduce a new extended cosine family of distributions. Some important mathematical and statistical properties are studied, including asymptotic results, a quantile function, series representation of the cumulative distribution and ...
Mustapha Muhammad+6 more
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Integrated cosine functions [PDF]
In order to the second order Cauchy problem (CP2):x″(t)=Ax(t), x(0)=x∈D(An), x″(0)=y∈D(Am) on a Banach space, Arendt and Kellermann recently introduced the integrated cosine function.
Quan Zheng
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née Katayama Miyoko Uchiyama+1 more
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Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words [PDF]
Cosine similarity of contextual embeddings is used in many NLP tasks (e.g., QA, IR, MT) and metrics (e.g., BERTScore). Here, we uncover systematic ways in which word similarities estimated by cosine over BERT embeddings are understated and trace this ...
Kaitlyn Zhou+3 more
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Discrete Cosine Transform Network for Guided Depth Map Super-Resolution [PDF]
Guided depth super-resolution (GDSR) is an essential topic in multi-modal image processing, which reconstructs high-resolution (HR) depth maps from low-resolution ones collected with suboptimal conditions with the help of HR RGB images of the same scene.
Zixiang Zhao+4 more
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