Grating-lobes reduction by application of Phase Coherence Factors

Author(s):  
J. Camacho ◽  
M. Parrilla ◽  
C. Fritsch
Metahumaniora ◽  
2017 ◽  
Vol 7 (2) ◽  
pp. 115
Author(s):  
Desi Damayanti

ABSTRAKJepang merupakan negara dengan tiga perusahaan telekomunikasi ternama didunia, salah satunya SoftBank, sehingga perusahaan tersebut menggunakan berbagaicara kreatif untuk mempromosikan produknya, termasuk melalui media iklankomersial. Sells dan Gonzalez (dalam Astuti, 2005:3) menyatakan bahwa bahasa dalamiklan sedikit menyimpang dari kaidah tata bahasa, yang mempengaruhi keterpaduanmaknanya (koherensi). Tujuan dari penelitian ini adalah untuk mengidentifikasipenanda kekoherensian, hubungan kekoherensian serta faktor penyebab terjadinyakekoherensian pada wacana iklan komersial dalam website SoftBank yang dianalisisberlandaskan pada teori struktur iklan Bolen (1984), struktur retorika Mann danThompson (1988) serta koherensi Ramlan (1993). Penulis menggunakan metodedeskriptif analisis dalam penelitian ini. Dari hasil analisis data, teridentifikasi bahwapenanda kekoherensian yang sering muncul berjenis perturutan, contohnya seperti“maka dari itu”. Kemudian terdapat tiga jenis hubungan koherensi yang sering munculdalam kedua belas wacana iklan komersial tersebut, yakni uraian, latar belakang danurutan. Faktor penyebab kekoherensian adalah adanya pengetahuan yang dibagibersama (shared knowledge) dari pengiklan kepada konsumen, sehingga konsumendapat mengetahui dan ingin tahu lebih lanjut mengenai isi iklan.Kata kunci: wacana, iklan komersial, koherensi, struktur iklan, struktur retorikaABSTRACTJapan is a country with top three telecommunication brand companies in theworld, one of them is Softbank. This company uses a variety of methods to promote theirproducts, including the use of commercial ads. Sells and Gonzalez (from Astuti, 2005:3)declare that ads have a bit linguistic deviation that affecting the unity of meaning(coherence). The aim of this research is to identify the coherence markers, coherencerelations and coherence factors of SoftBank’s commercial adverting discourse (CAD)analyzed based on advertising theory from Bolen (1984) and rhetorical structure theoryfrom Mann and Thompson (1988) and Ramlan (1984). The writers use descriptivemethod in this research. The results of data analysis, it is identified that coherencemarkers like continuation are often used, for example “therefore”.Then, the twelve CADshave three kinds of coherence relations that often come in the CAD, such as elaboration,background, and sequence. The factor of the coherence is a sharing a knowledge fromadvertiser to consumer, so that consumer can be informed and want to know more aboutthe content of the ads.Keywords: discourse, commercial ads, coherence, ad’s structure, rhetorical structure


2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
M. Ablikim ◽  
◽  
M. N. Achasov ◽  
P. Adlarson ◽  
S. Ahmed ◽  
...  

Abstract The decays D → K−π+π+π− and D → K−π+π0 are studied in a sample of quantum-correlated $$ D\overline{D} $$ D D ¯ pairs produced through the process e+e− → ψ(3770) → $$ D\overline{D} $$ D D ¯ , exploiting a data set collected by the BESIII experiment that corresponds to an integrated luminosity of 2.93 fb−1. Here D indicates a quantum superposition of a D0 and a $$ {\overline{D}}^0 $$ D ¯ 0 meson. By reconstructing one neutral charm meson in a signal decay, and the other in the same or a different final state, observables are measured that contain information on the coherence factors and average strong-phase differences of each of the signal modes. These parameters are critical inputs in the measurement of the angle γ of the Unitarity Triangle in B− → DK− decays at the LHCb and Belle II experiments. The coherence factors are determined to be RK3π = $$ {0.52}_{-0.10}^{+0.12} $$ 0.52 − 0.10 + 0.12 and $$ {R}_{K{\pi \pi}^0} $$ R K ππ 0 = 0.78 ± 0.04, with values for the average strong-phase differences that are $$ {\delta}_D^{K3\pi }=\left({167}_{-19}^{+31}\right){}^{\circ} $$ δ D K 3 π = 167 − 19 + 31 ° and $$ {\delta}_D^{K{\pi \pi}^0}=\left({196}_{-15}^{+14}\right){}^{\circ} $$ δ D K ππ 0 = 196 − 15 + 14 ° , where the uncertainties include both statistical and systematic contributions. The analysis is re-performed in four bins of the phase-space of the D → K−π+π+π− to yield results that will allow for a more sensitive measurement of γ with this mode, to which the BESIII inputs will contribute an uncertainty of around 6°.


2018 ◽  
Vol 36 (3) ◽  
pp. 937-943 ◽  
Author(s):  
Maurício J. A. Bolzan ◽  
Clezio M. Denardini ◽  
Alexandre Tardelli

Abstract. The geomagnetic field in the Brazilian sector is influenced by the South American Magnetic Anomaly (SAMA) that causes a decrease in the magnitude of the local geomagnetic field when compared to other regions in the world. Thus, the magnetometer network and data set of space weather over Brazil led by Embrace are important tools for promoting the understanding of geomagnetic fields over Brazil. In this sense, in this work we used the H component of geomagnetic fields obtained at different sites in South America in order to compare results from the phase coherence obtained from wavelet transform (WT). Results from comparison between Cachoeira Paulista (CXP) and Eusébio (EUS), and Cachoeira Paulista and São Luis (SLZ), indicated that there exist some phenomena that occur simultaneously in both locations, putting them in the same phase coherence. However, there are other phenomena putting both locations in a strong phase difference as observed between CXP and Rio Grande, Argentina (RGA). This study was done for a specific moderate geomagnetic storm that occurred in March 2003. The results are explained in terms of nonlinear interaction between physical phenomena acting in distinct geographic locations and at different times and scales. Keywords. Geomagnetism and paleomagnetism (time variations – diurnal to secular)


NeuroImage ◽  
2016 ◽  
Vol 137 ◽  
pp. 178-187 ◽  
Author(s):  
Baltazar Zavala ◽  
Huiling Tan ◽  
Keyoumars Ashkan ◽  
Thomas Foltynie ◽  
Patricia Limousin ◽  
...  

2017 ◽  
Vol 87 ◽  
pp. 31-37 ◽  
Author(s):  
J.F. Cruza ◽  
J. Camacho ◽  
C. Fritsch

1995 ◽  
Vol 51 (16) ◽  
pp. 11213-11216 ◽  
Author(s):  
C. Gould ◽  
A. S. Sachrajda ◽  
Y. Feng ◽  
A. Delage ◽  
P. J. Kelly ◽  
...  

2003 ◽  
Vol 34 (2) ◽  
pp. 54-69 ◽  
Author(s):  
Frank H. Duffy ◽  
Heidelise Als ◽  
Gloria B. McAnulty

EEG spectral coherence data in quiet sleep of 312 infants were evaluated, at 42 weeks post-menstrual age. All were medically healthy and living at home by time of evaluation. The sample consisted of prematurely born infants with a wide spectrum of underlying risk factors, as well as healthy fullterm infants. Initial 3040 coherence variables were reduced by principal components analysis in an unrestricted manner, which avoided the folding of spectral and spatial information into among-subject variance. One hundred fifty factors explained 90% of the total variance; 40 Varimax rotated factors explained 65% of the variance yielding a 50:1 data reduction. Factor loading patterns ranged from multiple spectral bands for a single electrode pair to multiple electrode pairs for a single spectral band and all intermediate possibilities. Simple left-right and anterior-posterior pairings were not observed within the factor loadings. By multiple regression analysis, the 40 factors significantly predicted gestational age at birth. By canonical correlation, significant relationships were demonstrated between the coherence factors and medical risk factors as well as neurobehavioral factors. Using discriminant analysis, the coherence factors successfully discriminated between infants with high and low medical risk status and between those with the best and worst neurobehavioral status. The two factors accounting for the most variance, and chosen across several analyses, indicated increased left central-temporal coherence from 6–24 Hz, and increased frontal-occipital coherence at 10 Hz, for the infants born closest to term with lowest medical risk factors and best neurobehavioral performance.


2000 ◽  
Vol 337 (1-4) ◽  
pp. 208-212
Author(s):  
Q.M Zhang ◽  
Y.N Wang ◽  
A Li ◽  
Q Qiu ◽  
X.S Xu ◽  
...  

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