The Experts below are selected from a list of 43698 Experts worldwide ranked by ideXlab platform

Yanbiao Liao - One of the best experts on this subject based on the ideXlab platform.

  • positioning error prediction theory for dual mach zehnder interferometric vibration sensor
    Journal of Lightwave Technology, 2011
    Co-Authors: Liwei Wang, Min Zhang, Yanhe Li, Yanbiao Liao
    Abstract:

    The positioning mean square error (MSE) prediction theory for dual Mach-Zehnder interferometric vibration sensor is proposed. The Cross-Correlation algorithm is considered. By taking into account the general noise time delay model, the impact of each noise term in output interference signal to ultimate positioning MSE is to our knowledge the first time be analyzed. An equivalent signal to noise ratio term for general noise time delay model is derived. It shows that incoherent phase noise (coming from polarization fading effect) makes an equivalent contribution to positioning MSE as additive noise under assumptions. In practical prediction, Cross-Correlation Coefficient between two channel signals can be used to estimate positioning MSE. Simulation as well as experimental results are presented to corroborate the theory.

  • positioning error prediction theory for dual mach zehnder interferometric vibration sensor
    Journal of Lightwave Technology, 2011
    Co-Authors: Shangran Xie, Liwei Wang, Min Zhang, Qilin Zou, Yanbiao Liao
    Abstract:

    The positioning mean square error (MSE) prediction theory for dual Mach-Zehnder interferometric vibration sensor is proposed. The Cross-Correlation algorithm is considered. By taking into account the general noise time delay model, the impact of each noise term in output interference signal to ultimate positioning MSE is to our knowledge the first time be analyzed. An equivalent signal to noise ratio term for general noise time delay model is derived. It shows that incoherent phase noise (coming from polarization fading effect) makes an equivalent contribution to positioning MSE as additive noise under assumptions. In practical prediction, Cross-Correlation Coefficient between two channel signals can be used to estimate positioning MSE. Simulation as well as experimental results are presented to corroborate the theory.

Liwei Wang - One of the best experts on this subject based on the ideXlab platform.

  • positioning error prediction theory for dual mach zehnder interferometric vibration sensor
    Journal of Lightwave Technology, 2011
    Co-Authors: Liwei Wang, Min Zhang, Yanhe Li, Yanbiao Liao
    Abstract:

    The positioning mean square error (MSE) prediction theory for dual Mach-Zehnder interferometric vibration sensor is proposed. The Cross-Correlation algorithm is considered. By taking into account the general noise time delay model, the impact of each noise term in output interference signal to ultimate positioning MSE is to our knowledge the first time be analyzed. An equivalent signal to noise ratio term for general noise time delay model is derived. It shows that incoherent phase noise (coming from polarization fading effect) makes an equivalent contribution to positioning MSE as additive noise under assumptions. In practical prediction, Cross-Correlation Coefficient between two channel signals can be used to estimate positioning MSE. Simulation as well as experimental results are presented to corroborate the theory.

  • positioning error prediction theory for dual mach zehnder interferometric vibration sensor
    Journal of Lightwave Technology, 2011
    Co-Authors: Shangran Xie, Liwei Wang, Min Zhang, Qilin Zou, Yanbiao Liao
    Abstract:

    The positioning mean square error (MSE) prediction theory for dual Mach-Zehnder interferometric vibration sensor is proposed. The Cross-Correlation algorithm is considered. By taking into account the general noise time delay model, the impact of each noise term in output interference signal to ultimate positioning MSE is to our knowledge the first time be analyzed. An equivalent signal to noise ratio term for general noise time delay model is derived. It shows that incoherent phase noise (coming from polarization fading effect) makes an equivalent contribution to positioning MSE as additive noise under assumptions. In practical prediction, Cross-Correlation Coefficient between two channel signals can be used to estimate positioning MSE. Simulation as well as experimental results are presented to corroborate the theory.

Min Zhang - One of the best experts on this subject based on the ideXlab platform.

  • positioning error prediction theory for dual mach zehnder interferometric vibration sensor
    Journal of Lightwave Technology, 2011
    Co-Authors: Liwei Wang, Min Zhang, Yanhe Li, Yanbiao Liao
    Abstract:

    The positioning mean square error (MSE) prediction theory for dual Mach-Zehnder interferometric vibration sensor is proposed. The Cross-Correlation algorithm is considered. By taking into account the general noise time delay model, the impact of each noise term in output interference signal to ultimate positioning MSE is to our knowledge the first time be analyzed. An equivalent signal to noise ratio term for general noise time delay model is derived. It shows that incoherent phase noise (coming from polarization fading effect) makes an equivalent contribution to positioning MSE as additive noise under assumptions. In practical prediction, Cross-Correlation Coefficient between two channel signals can be used to estimate positioning MSE. Simulation as well as experimental results are presented to corroborate the theory.

  • positioning error prediction theory for dual mach zehnder interferometric vibration sensor
    Journal of Lightwave Technology, 2011
    Co-Authors: Shangran Xie, Liwei Wang, Min Zhang, Qilin Zou, Yanbiao Liao
    Abstract:

    The positioning mean square error (MSE) prediction theory for dual Mach-Zehnder interferometric vibration sensor is proposed. The Cross-Correlation algorithm is considered. By taking into account the general noise time delay model, the impact of each noise term in output interference signal to ultimate positioning MSE is to our knowledge the first time be analyzed. An equivalent signal to noise ratio term for general noise time delay model is derived. It shows that incoherent phase noise (coming from polarization fading effect) makes an equivalent contribution to positioning MSE as additive noise under assumptions. In practical prediction, Cross-Correlation Coefficient between two channel signals can be used to estimate positioning MSE. Simulation as well as experimental results are presented to corroborate the theory.

Jeffrey C. Snyder - One of the best experts on this subject based on the ideXlab platform.

  • simulations of polarimetric x band radar signatures in supercells part ii zdr columns and rings and kdp columns
    Journal of Applied Meteorology and Climatology, 2017
    Co-Authors: Jeffrey C. Snyder, Howard B. Bluestein, Daniel T Dawson, Youngsun Jung
    Abstract:

    AbstractA high-resolution numerical model and polarimetric forward operator allow one to examine simulated convective storms from the perspective of observable polarimetric radar quantities, enabling a better comparison of modeled and observed deep moist convection. Part I of this two-part study described the model and forward operator used for all simulations and examined the structure and evolution of rings of reduced copolar Cross-Correlation Coefficient (i.e., ρhv rings). The microphysical structure of upward extensions of enhanced differential reflectivity (ZDR columns and ZDR rings) and enhanced specific differential phase (KDP columns) near and within the updrafts of convective storms serve as the focus of this paper. In general, simulated ZDR columns are located immediately west of the midlevel updraft maximum and are associated with rainwater lofted above the 0°C level and wet hail/graupel, whereas ZDR rings are associated with wet hail located near and immediately east of the midlevel updraft ma...

  • simulations of polarimetric x band radar signatures in supercells part i description of experiment and simulated ρhv rings
    Journal of Applied Meteorology and Climatology, 2017
    Co-Authors: Jeffrey C. Snyder, Howard B. Bluestein, Daniel T Dawson, Youngsun Jung
    Abstract:

    AbstractWith the development of multimoment bulk microphysical schemes and polarimetric radar forward operators, one can better examine convective storms simulated in high-resolution numerical models from a simulated polarimetric radar perspective. Subsequently, relationships between observable and unobservable quantities can be examined that may provide useful information about storm intensity and organization that otherwise would be difficult to obtain. This paper, Part I of a two-part sequence, describes the bulk microphysics scheme, polarimetric radar forward operator, and numerical model configuration used to simulate supercells in eight idealized, horizontally homogenous environments with different wind profiles. The microphysical structure and evolution of copolar Cross-Correlation Coefficient (ρhv) rings associated with simulated supercells are examined in Part I, whereas Part II examines ZDR columns, ZDR rings, and KDP columns. In both papers, some systematic differences between the signature see...

  • a finescale radar examination of the tornadic debris signature and weak echo reflectivity band associated with a large violent tornado
    Monthly Weather Review, 2016
    Co-Authors: Jana Lesak Houser, Howard B. Bluestein, Jeffrey C. Snyder
    Abstract:

    AbstractHigh-resolution data of the tornadic debris signature (TDS) and weak-echo reflectivity band (WRB) associated with a large, violent tornado on 24 May 2011 in central Oklahoma are examined using a rapid-scan, X-band, polarimetric, mobile Doppler radar. Various characteristics of these features and their evolution are examined over time intervals of 20 s or less. The formation of the TDS, debris fallout, and inhomogeneities in the TDS structure, are analyzed from volumetric and single-elevation observations. Constant-radius vertical Cross sections of Doppler velocity, reflectivity, and copolar Cross-Correlation Coefficient are compared at various times during the tornado’s life cycle; from them it is found that the weak echo column (WEC) is considerably narrower than the TDS and the WEC is confined to the strong gradient of Doppler velocities in the tornado’s core. The TDS of the mature tornado extends radially outward, bound approximately by the 40 m s−1 radial isodop.Rapid-scan, near-surface data w...

  • a mobile rapid scanning x band polarimetric raxpol doppler radar system
    Journal of Atmospheric and Oceanic Technology, 2013
    Co-Authors: Andrew L Pazmany, Jeffrey C. Snyder, Howard B. Bluestein, James B Mead, Jana B Houser
    Abstract:

    AbstractA novel, rapid-scanning, X-band (3-cm wavelength), polarimetric (RaXPol), mobile radar was developed for severe-weather research. The radar employs a 2.4-m-diameter dual-polarized parabolic dish antenna on a high-speed pedestal capable of rotating the antenna at 180° s−1. The radar can complete a 10-elevation-step volume scan in about 20 s, while maintaining a 180-record-per-second data rate. The transmitter employs a 20-kW peak-power traveling wave tube amplifier that can generate pulse compression and frequency-hopping waveforms. Frequency hopping permits the acquisition of many more independent samples possible than without frequency hopping, making it possible to scan much more rapidly than conventional radars. Standard data products include vertically and horizontally polarized equivalent radar reflectivity factor, Doppler velocity mean and standard deviation, copolar Cross-Correlation Coefficient, and differential phase. This paper describes the radar system and illustrates the capabilities ...

G F Zebende - One of the best experts on this subject based on the ideXlab platform.

  • statistical test for multiple detrended Cross Correlation Coefficient
    Physica A-statistical Mechanics and Its Applications, 2021
    Co-Authors: A.m. Da Silva Filho, G F Zebende, A P N De Castro, Everaldo Freitas Guedes
    Abstract:

    Abstract In this paper, we proposed a statistical test for the Multiple Detrended Correlation Coefficient D M C x 2 . The D M C x 2 is a measure of total association between the dependent variable, Y , with other p independent variables, X all with the same length N . D M C x 2 is based on the generalization of the ρ ( X i , X j ) Cross-Correlation Coefficient. With this methodology, it is possible to evaluate the statistical significance of D M C x 2 for different levels confidence. Findings on this research show that rejection or non-rejection of the null hypothesis of D M C x 2 also depends on the size N of the series and the time scale n evaluated. Our findings also show a behavior pattern in the critical values of D M C x 2 . Fixing the size of the series ( N ) , as the size of the time scale n increases, the critical values tend to increase.

  • detrended multiple Cross Correlation Coefficient applied to solar radiation air temperature and relative humidity
    Scientific Reports, 2019
    Co-Authors: Andrea De Almeida Brito, Heraclio Alves De Araujo, G F Zebende
    Abstract:

    Due to the importance of generating energy sustainably, with the Sun being a large solar power plant for the Earth, we study the Cross-Correlations between the main meteorological variables (global solar radiation, air temperature, and relative air humidity) from a global Cross-Correlation perspective to efficiently capture solar energy. This is done initially between pairs of these variables, with the Detrended Cross-Correlation Coefficient, ρDCCA, and subsequently with the recently developed Multiple Detrended Cross-Correlation Coefficient, $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$. We use the hourly data from three meteorological stations of the Brazilian Institute of Meteorology located in the state of Bahia (Brazil). Initially, with the original data, we set up a color map for each variable to show the time dynamics. After, ρDCCA was calculated, thus obtaining a positive value between the global solar radiation and air temperature, and a negative value between the global solar radiation and air relative humidity, for all time scales. Finally, for the first time, was applied $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$ to analyze Cross-Correlations between three meteorological variables at the same time. On taking the global radiation as the dependent variable, and assuming that $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}={\bf{1}}$$ (which varies from 0 to 1) is the ideal value for the capture of solar energy, our analysis finds some patterns (differences) involving these meteorological stations with a high intensity of annual solar radiation.

  • quantifying the contagion effect of the 2008 financial crisis between the g7 countries by gdp nominal
    Physica A-statistical Mechanics and Its Applications, 2016
    Co-Authors: Marcus Fernandes Da Silva, Eder Johnson De Area Leao Pereira, Aloisio Machado Da Silva Filho, Arleys Pereira Nunes De Castro, Jose Garcia Vivas Miranda, G F Zebende
    Abstract:

    Abstract In this paper we quantify the Cross-Correlation between the adjusted closing index of the G7 countries, by their Gross Domestic Product (nominal). For this purpose we consider the 2008 financial crisis. Thus, we intend to observe the impact of the 2008 crisis by applying the DCCA Cross-Correlation Coefficient ρ D C C A between these countries. As an immediate result we observe that there is a positive Cross-Correlation between the index, and this Coefficient changes with time between weak, medium, and strong values. If we compare the pre-crisis period (before 2008) with the post-crisis period (after 2008), it is noticed that ρ D C C A changes its value. From these facts, we propose to study the contagion (interdependence) effect from this change by a new variable, Δ ρ D C C A . Thus, we present new findings for the 2008 crisis between the members of the G7.

  • dcca Cross Correlation Coefficient apply in time series of air temperature and air relative humidity
    Physica A-statistical Mechanics and Its Applications, 2012
    Co-Authors: R T Vassoler, G F Zebende
    Abstract:

    Abstract In this paper we propose, analyze and also quantify Cross-Correlations between climatological data. For this purpose we adopt the DCCA Cross-Correlation Coefficient ρ D C C A . In order to accomplish this goal, we calculate the Cross-Correlation between time series of air temperature and relative humidity. This analysis was performed taking into account several stations (cities) around the world. The results found here, depending on the station location, may exhibit one of the following behaviors, i.e., negative, positive, or null Cross-Correlations. It is noteworthy that, the level of Cross-Correlation between air temperature and relative humidity is quantified in these cases. Finally, DCCA Cross-Correlation Coefficients show that, in general, the data are influenced by seasonal components.