scholarly journals Human DND1‐RRM2 forms a non‐canonical domain swapped dimer

2021 ◽  
Author(s):  
Pooja Kumari ◽  
Neel Sarovar Bhavesh
Keyword(s):  
Canonical Domain

scholarly journals Iterative tyrosine phosphorylation controls non-canonical domain utilization in Crk

Oncogene ◽  
2014 ◽  
Vol 34 (32) ◽  
pp. 4260-4269 ◽  
Author(s):  
G Sriram ◽  
W Jankowski ◽  
C Kasikara ◽  
C Reichman ◽  
T Saleh ◽  
...  
Keyword(s):  
Tyrosine Phosphorylation ◽  
Canonical Domain

Jittered Sampling in Linear Canonical Domain

2020 ◽  
Vol 24 (7) ◽  
pp. 1529-1533
Author(s):  
Zhichao Zhang
Keyword(s):  
Canonical Domain

An Algorithm of DOA Estimation in Linear Canonical Transform Domain

2014 ◽  
Vol 989-994 ◽  
pp. 1973-1976
Author(s):  
Heng Zhao ◽  
Yan Hong Zhang ◽  
Hui Hui Li
Keyword(s):  
Doa Estimation ◽  
Transform Domain ◽  
Linear Canonical Transform ◽  
Steering Vector ◽  
Canonical Domain ◽  
Transformation Parameters

An algorithm of DOA estimation based on linear canonical transform is proposed. In this method, the observed signals are first transformed to linear canonical domain, through selecting appropriate transformation parameters, characteristics of the observed signal appear to be energy-concentrated in the corresponding linear canonical domain, and by that, the linear canonical domain steering vector is defined, then root-MUSIC is used to estimate DOA of impinging signals. Simulation examples are provided showing the effectiveness of the presented technique.

scholarly journals Non-Separable Linear Canonical Wavelet Transform

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2182
Author(s):  
Hari M. Srivastava ◽  
Firdous A. Shah ◽  
Tarun K. Garg ◽  
Waseem Z. Lone ◽  
Huzaifa L. Qadri
Keyword(s):  
Wavelet Transform ◽  
Preliminary Analysis ◽  
Integral Transform ◽  
The Novel ◽  
Time Frequency ◽  
Fundamental Properties ◽  
Canonical Domain ◽  
Frequency Representation ◽  
Higher Dimensional ◽  
Uncertainty Inequalities

This study aims to achieve an efficient time-frequency representation of higher-dimensional signals by introducing the notion of a non-separable linear canonical wavelet transform in L2(Rn). The preliminary analysis encompasses the derivation of fundamental properties of the novel integral transform including the orthogonality relation, inversion formula, and the range theorem. To extend the scope of the study, we formulate several uncertainty inequalities, including the Heisenberg’s, logarithmic, and Nazorav’s inequalities for the proposed transform in the linear canonical domain. The obtained results are reinforced with illustrative examples.

scholarly journals Subclasses of Uniform Univalent Functions Associated with Srivastava and Attiya Operator

Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1536
Author(s):  
Mohammad Yaseen ◽  
Irfan Ali ◽  
Sardar Muhammad Hussain ◽  
Jong-Suk Ro
Keyword(s):  
Integral Representation ◽  
Univalent Functions ◽  
Canonical Domain ◽  
Radius Problems ◽  
Analytic And Univalent Functions ◽  
Symmetrical Points

In this paper, we introduce new subclasses k−STs(p,β) and k−UKs(p,β) of analytic and univalent functions in the canonical domain associated with the Srivastava and Attiya operator. The radius problems of these subclasses regarding symmetrical points are investigated and compared with previous known results. Certain properties and conditions of these subclasses such as integral representation are also discussed in this work.

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