Element selection for partial adaptive nulling

A 450 fs 65-nm CMOS Millimeter-Wave Time-to-Digital Converter Using Statistical Element Selection for All-Digital PLLs

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.2017.2762698 ◽

2018 ◽

Vol 53 (2) ◽

pp. 357-374 ◽

Cited By ~ 4

Author(s):

Ahmed I. Hussein ◽

Sriharsha Vasadi ◽

Jeyanandh Paramesh

Keyword(s):

Millimeter Wave ◽

Digital Converter ◽

Time To Digital Converter ◽

Selection For ◽

Statistical Element Selection ◽

Element Selection

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A comparison of geological and statistical approaches to element selection for sediment fingerprinting

Journal of Soils and Sediments ◽

10.1007/s11368-015-1111-9 ◽

2015 ◽

Vol 15 (10) ◽

pp. 2117-2131 ◽

Cited By ~ 41

Author(s):

John Patrick Laceby ◽

Joe McMahon ◽

Olivier Evrard ◽

Jon Olley

Keyword(s):

Sediment Fingerprinting ◽

Statistical Approaches ◽

Selection For ◽

Element Selection

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Column-wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2020.2967045 ◽

2020 ◽

pp. 1-1 ◽

Cited By ~ 1

Author(s):

Thirunavukarasu Balasubramaniam ◽

Richi Nayak ◽

Chau Yuen ◽

Yu-Chu Tian

Keyword(s):

Tensor Factorization ◽

Computationally Efficient ◽

Selection For ◽

Element Selection

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Optimum reference element selection for GNSS power‐inversion adaptive arrays

Electronics Letters ◽

10.1049/el.2016.2360 ◽

2016 ◽

Vol 52 (20) ◽

pp. 1723-1725 ◽

Cited By ~ 9

Author(s):

Youda Wan ◽

Feiqiang Chen ◽

Junwei Nie ◽

Guangfu Sun

Keyword(s):

Adaptive Arrays ◽

Reference Element ◽

Selection For ◽

Power Inversion ◽

Element Selection

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Initial data-element selection for the evaluation of picture archiving and communication system performance

Journal of Digital Imaging ◽

10.1007/bf03168536 ◽

1994 ◽

Vol 7 (4) ◽

pp. 177-182 ◽

Cited By ~ 6

Author(s):

Hiroshi Kondoh ◽

Junpei Ikezoe ◽

Kiyonari Inamura ◽

Chikazumi Kuroda ◽

Takahiro Kozuka

Keyword(s):

Initial Data ◽

Communication System ◽

System Performance ◽

Data Element ◽

Communication System Performance ◽

Picture Archiving ◽

Selection For ◽

Picture Archiving And Communication ◽

Element Selection

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Element selection for intuitionistic fuzzy sets

International Journal of Knowledge Engineering and Soft Data Paradigms ◽

10.1504/ijkesdp.2010.034680 ◽

2010 ◽

Vol 2 (2) ◽

pp. 160

Author(s):

Vicenc Torra

Keyword(s):

Fuzzy Sets ◽

Intuitionistic Fuzzy Sets ◽

Intuitionistic Fuzzy ◽

Selection For ◽

Element Selection

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Element Selection for Optimized Multiwide Nulls in Almost Uniformly Excited Arrays

IEEE Antennas and Wireless Propagation Letters ◽

10.1109/lawp.2018.2807371 ◽

2018 ◽

Vol 17 (4) ◽

pp. 629-632 ◽

Cited By ~ 7

Author(s):

Jafar Ramadhan Mohammed

Keyword(s):

Selection For ◽

Element Selection

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Shape Optimization and Design Element Selection for Problems with Constrained Static and Dynamic Response

Lecture Notes in Engineering - Engineering Optimization in Design Processes ◽

10.1007/978-3-642-84397-6_8 ◽

1991 ◽

pp. 79-87 ◽

Cited By ~ 2

Author(s):

B. Specht ◽

H. Baier

Keyword(s):

Dynamic Response ◽

Shape Optimization ◽

Design Element ◽

Selection For ◽

Element Selection

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An integrated approach to state assignment and sequential element selection for FSM synthesis

Proceedings of 7th International Conference on VLSI Design ◽

10.1109/icvd.1994.282721 ◽

2002 ◽

Cited By ~ 4

Author(s):

M. Mehendale ◽

B. Mitra

Keyword(s):

Integrated Approach ◽

State Assignment ◽

Selection For ◽

Element Selection

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A Comparative Study on the Effects of FSS with Different Elements on the Characteristics of Radar Absorbing Materials

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.418-420.42 ◽

2011 ◽

Vol 418-420 ◽

pp. 42-45

Author(s):

Xin Yi Chen ◽

Jian Bo Wang ◽

Jun Lu ◽

Guan Cheng Sun ◽

Gui Bo Chen

Keyword(s):

Comparative Study ◽

Frequency Selective Surface ◽

Spectral Domain ◽

Form Complex ◽

Spectral Domain Approach ◽

Absorbing Materials ◽

Selection For ◽

Frequency Selective ◽

Element Selection

The three common frequency selective surface (FSS) structure, i.e. ring, crosses and Y-aperture which have the same center frequencies are designed, then the three FSS structures are placed at absorbing materials to form complex absorbing structures which are simulated by means of spectral domain approach. Therefore, the effects of different FSS on the characteristics of absorbing materials are studied and the influence laws are given. This research offers reference to element selection for the application of common FSS to absorbing materials.

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