The analysis of time lag correlation of XF Correlators used for Delta-DOR application

2017 ◽  
Author(s):  
Arathi. S. Nair ◽  
Salim Paul
Keyword(s):  
Time Lag ◽  
Time Lag Correlation

Effect of spectral time-lag correlation coefficient and signal averaging on airborne CO 2 DIAL measurements

1997 ◽  
Author(s):  
Avishai Ben-David ◽  
Richard G. Vanderbeek ◽  
Steven W. Gotoff ◽  
Francis M. D'Amico
Keyword(s):  
Correlation Coefficient ◽  
Time Lag ◽  
Signal Averaging ◽  
Time Lag Correlation

scholarly journals The photon-index–time-lag correlation in black hole X-ray binaries

2017 ◽  
Vol 473 (4) ◽  
pp. 4644-4652 ◽  
Author(s):  
Pablo Reig ◽  
Nikolaos D. Kylafis ◽  
Iossif E. Papadakis ◽  
María Teresa Costado
Keyword(s):  
Black Hole ◽  
Time Lag ◽  
X Ray ◽  
Photon Index ◽  
X Ray Binaries ◽  
Time Lag Correlation

scholarly journals Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

F1000Research ◽  
2021 ◽  
Vol 9 ◽  
pp. 1201
Author(s):  
Dewi Rokhmah ◽  
Khaidar Ali ◽  
Serius Miliyani Dwi Putri ◽  
Khoiron Khoiron
Keyword(s):  
Alternative Medicine ◽  
Public Interest ◽  
Time Lag ◽  
Google Trends ◽  
Rank Test ◽  
Search Term ◽  
Alternative Medicines ◽  
Search Volume ◽  
Relative Search Volume ◽  
Time Lag Correlation

Background: The COVID-19 pandemic has triggered individuals to increase their healthy behaviour in order to prevent transmission, including improving their immunity potentially through the use of alternative medicines. This study aimed to examine public interest on alternative medicine during the COVID-19 pandemic using Google Trends in Indonesia. Methods: Employing a quantitative study, the Spearman rank test was used to analyze the correlation between Google Relative Search Volume (RSV) of various search terms, within the categories of alternative medicine, herbal medicine and practical activity, with COVID-19 cases. In addition, time lag correlation was also investigated. Results: Public interest toward alternative medicine during COVID-19 pandemic in Indonesia is dramatically escalating. All search term categories (alternative medicine, medical herbal, and alternative medicine activities) were positively associated with COVID-19 cases (p<0.05). The terms ‘ginger’ (r=0.6376), ‘curcumin’ (r=0.6550) and ‘planting ginger’ (0.6713) had the strongest correlation. Furthermore, time lag correlation between COVID-19 and Google RSV was also positively significant (p<0.05). Conclusion: Public interest concerning alternative medicine related terms dramatically increased after the first COVID-19 confirmed case was reported in Indonesia. Time lag correlation showed good performance using weekly data. The Indonesian Government will play an important role to provide and monitor information related to alternative medicine in order for the population to receive the maximum benefit.

scholarly journals Jitter Extraction in a Noisy Signal by Fast Fourier Transform and Time Lag Correlation

2018 ◽  
Vol 884 ◽  
pp. 113-121 ◽  
Author(s):  
Gehan Anthonys ◽  
Michael J. Cree ◽  
Lee Streeter
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Time Lag ◽  
Reference Signal ◽  
Clock Signal ◽  
Eye Diagram ◽  
Noisy Signals ◽  
Random Jitter ◽  
Reference Clock ◽  
Time Lag Correlation

Jitter in an electronic signal is any deviation in, or displacement of, the signal in time. This paper investigates on decomposition of two types of jitter, namely, periodic and random jitter in noisy signals. Generally, an oscilloscope generates an eye diagram by overlaying sweeps of different segments of a long data stream driven by the reference clock signal. We use the fast Fourier transform with time lag correlation of the signal since we do not have a clock reference signal and apply this technique to simulated noisy signals. We separately injected a random jitter (of known amount), periodic jitter (with known frequency and amount), and both together to various modulation frequencies of sinusoidal signals. The approach is validated by several experiments with numerous values in jitter parameters. When we separately inject random jitter (5 ps) and periodic jitter (5 ps at 4.37 MHz) to the signal, we obtained the results (4.52±0.25 ps) and (4.93±0.04 ps at 4.40±0.04 MHz), respectively.

scholarly journals STOCK RETURN AND TRADING VOLUME IN LQ45 INDEX

2017 ◽  
Vol 10 (02) ◽  
Author(s):  
Clara Constantine ◽  
Kim Sung Suk
Keyword(s):  
Trading Volume ◽  
Stock Return ◽  
Time Lag ◽  
Time Lag Correlation

<p>Penelitian ini berfokus hubungan antara return dan volume perdagangan dengan data harian perusahaan di<br />LQ45. Model GARCH Bivariat digunakan untuk mengamati hubungan antara return dan volume<br />perdagangan. Untuk mengetahui hubungan lebih lanjut antar variabel tersebut, digunakan pendekatan<br />time lag correlation. Untuk verifikasi hubungan tersebut, datanya dibagi menjadi dua kelompok<br />berdasarkan ukuran volume perdagangan dan ukuran perusahaan. Hasilnya menunjukkan bahwa<br />kelompok volume perdagangan hanya menyebabkan Granger kausal ke volume perdangangan, tetapi<br />sebaliknya tidak. Sementara pada kelompok ukuran perusahaan, masing-masing menunjukkan hasil yang<br />berbeda. Pada ukuran perusahaan kecil dan menengah, return dan volume mempunyai dua arah (bilateral)<br />Granger kausal. Namun, tidak ditemukan hubungan kausal bagi ukuran perusahaan besar. Semua<br />kelompok ukuran volume dan kelompok ukuran perusahaan menunjukkan korelasi lag waktu positif,<br />sehingga terdapat efek anti-leverage.<br />Kata kunci: return, volume perdagangan, Bivariat GARCH</p>

scholarly journals Increase in public interest concerning alternative medicine during the COVID-19 pandemic in Indonesia: a Google Trends study

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1201
Author(s):  
Dewi Rokhmah ◽  
Khaidar Ali ◽  
Serius Miliyani Dwi Putri ◽  
Khoiron Khoiron
Keyword(s):  
Alternative Medicine ◽  
Public Interest ◽  
Time Lag ◽  
Google Trends ◽  
Rank Test ◽  
Search Term ◽  
Alternative Medicines ◽  
Search Volume ◽  
Relative Search Volume ◽  
Time Lag Correlation

Background: The COVID-19 pandemic has triggered individuals to increase their healthy behaviour in order to prevent transmission, including improving their immunity potentially through the use of alternative medicines. This study aimed to examine public interest on alternative medicine during the COVID-19 pandemic using Google Trends in Indonesia. Methods: Employing a quantitative study, the Spearman rank test was used to analyze the correlation between Google Relative Search Volume (RSV) of various search terms, within the categories of alternative medicine, herbal medicine and practical activity, with COVID-19 cases. In addition, time lag correlation was also investigated. Results: Public interest toward alternative medicine during COVID-19 pandemic in Indonesia is dramatically escalating. All search term categories (alternative medicine, medical herbal, and alternative medicine activities) were positively associated with COVID-19 cases (p<0.05). The terms ‘ginger’ (r=0.6376), ‘curcumin’ (r=0.6550) and ‘planting ginger’ (0.6713) had the strongest correlation. Furthermore, time lag correlation between COVID-19 and Google RSV was also positively significant (p<0.05). Conclusion: Public interest concerning alternative medicine related terms dramatically increased after the first COVID-19 confirmed case was reported in Indonesia. Time lag correlation showed good performance using weekly data. The Indonesian Government will play an important role to provide and monitor information related to alternative medicine in order for the population to receive the maximum benefit.

scholarly journals Potential use of personal protection online search during COVID-19 pandemic for predicting and monitoring public response

2020 ◽  
Vol 9 (4) ◽  
pp. 406
Author(s):  
Michael Chandra ◽  
Rizma Adlia Syakurah
Keyword(s):  
Public Health ◽  
Risk Communication ◽  
Pearson Correlation ◽  
Time Lag ◽  
Early Warning Systems ◽  
Google Trends ◽  
Series Data ◽  
Personal Protection ◽  
Search Volume ◽  
Time Lag Correlation

COVID-19 has become a global public health emergency in almost all over the world, including in Indonesia. Effective risk communication becomes an emergency response to increase awareness and determine appropriate interventions. The study aimed to assess the success of risk communication monitoring using Google Trends during the COVID-19 pandemic in Indonesia. Quantitative and qualitative research uses time-series data (31 December 2019-2 May 2020). The relative search volume (RSV) of keyword „masker‟ (mask) and „cuci tangan‟ (handwashing) from Google Trends (GT) and the number of COVID-19 daily cases were collected. Analyzed qualitatively. RSV search data and daily case comparisons were performed based on Pearson correlation analysis and time lag correlation with significance &lt;0.05. The keyword „masker‟ has four peaks and „cuci tangan‟ has three peaks with fluctuations due to the increase in mask prices, government policies, news, and official WHO recommendations. Validation using time-lag correlation shows the significant results between RSV keywords related to personal protection and the number of COVID-19 cases. The highest correlation was achieved by the keyword „masker‟ three days before the number of COVID-19 cases. Google Trends can potentially be used as a complement and support for early warning systems in the surveillance system and improve public health responses in Indonesia.

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