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Artykuły w czasopismach na temat „Autocorrelation function (ACF)”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 12 lutego 2022

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1

LEE, CHOONG-HOON, HEUNG-KYU LEE, and YOUNGHO SUH. "IMAGE WATERMARKING RESISTANT TO COMBINED GEOMETRIC AND REMOVAL ATTACKS." International Journal of Image and Graphics 05, no. 01 (January 2005): 37–65. http://dx.doi.org/10.1142/s0219467805001653.

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In this paper, we propose an improved autocorrelation function (ACF)-based watermarking that is robust against combined geometric and removal attacks. ACF-based watermarking is known to be effective against geometric attacks. In this watermarking scheme, both the embedded watermark and autocorrelation peaks of the watermark should survive a variety of attacks. However, the autocorrelation peaks are not strong enough. The proposed method improves the robustness of ACF-based watermarking by enhancing the strength of the autocorrelation peaks. Instead of the simple addition of a watermark to an i

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2

Bykhovsky, Dima, and Tom Trigano. "Numerical Generation of Compound Random Processes with an Arbitrary Autocorrelation Function." Fluctuation and Noise Letters 17, no. 01 (January 23, 2018): 1850001. http://dx.doi.org/10.1142/s0219477518500013.

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The generation of non-Gaussian random processes with a given autocorrelation function (ACF) is addressed. The generation is based on a compound process with two components. Both components are solutions of appropriate stochastic differential equations (SDEs). One of the components is a Gaussian process and the other one is non-Gaussian with an exponential ACF. The analytical study shows that a compound combination of these processes may be used for the generation of a non-Gaussian random process with a required ACF. The results are verified by two numerical examples.

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3

Li, Ming, and Wei Zhao. "Convergence of Sample Autocorrelation of Long-Range Dependent Traffic." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/725730.

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We depict our work on a fundamental issue in the theory of long-range dependent traffic in the aspect of the convergence of sample autocorrelation function (ACF) of real traffic. The present results suggest that the sample ACF of traffic is convergent. In addition, we show that the sample size has considerable effects in estimating the sample ACF of traffic. More precisely, a sample ACF of traffic tends to be smoother when the sample size increases.

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4

Korobeinikov, A. V. "Fast algorithm for calculating autocorrelation function in code synthesis tasks by enumerative technique." Issues of radio electronics 1, no. 1 (March 13, 2021): 13–18. http://dx.doi.org/10.21778/2218-5453-2021-1-13-18.

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The fast algorithm for calculating the autocorrelation function (ACF) of a binary code is developed in relation to the problem of synthesizing codes with a given ACF by enumerative technique. The algorithm is applicable for any duration of the N code. The computational complexity of calculating the ACF is 2N multiplication operations and 2N addition operations. The linear dependence of computational complexity on the duration of the N code is noted. To calculate the ACF of the newly created code combination, the previous code, its ACF, and the index of the changed code element are used. The co

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5

Li, Ming, and Wei Zhao. "Smoothing the Sample Autocorrelation of Long-Range-Dependent Traffic." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/631498.

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This paper depicts our work in smoothing the sample autocorrelation function (ACF) of traffic. The experimental results exhibit that the sample ACF of traffic may be smoothed by the way of average. In addition, the results imply that the sum of sample ACFs of traffic convergences. Considering that the traffic data used in this research is long-range dependent (LRD), the latter may be meaningful for the theoretical research of LRD traffic.

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6

EL-KHAMY, S. E., M. M. HADHOUD, M. I. DESSOUKY, B. M. SALAM, and F. E. ABD EL-SAMIE. "ACQUISITION OF SARSAT INFORMATION USING AN AUTO-CORRELATION BASED ADAPTIVE LINE ENHANCER." International Journal of Information Acquisition 02, no. 04 (December 2005): 291–302. http://dx.doi.org/10.1142/s0219878905000659.

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This paper develops a new approach to the detection of the emergency locator transmitter (ELT) signal using an adaptive line enhancer (ALE). The input signal to the ALE is replaced by its autocorrelation function (ACF) because noise affects the central samples of the autocorrelation function only while it affects all samples of the noisy signal. This gives the ALE the ability to get rid of noise, easily. The output ACF is then used in the spectral estimation and detection of the ELT signal. This approach is related to the signal processing using Higher Order Statistics (HOS) since the ACF is t

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7

ANISHCHENKO, VADIM S., TATJANA E. VADIVASOVA, ANDREY S. KOPEIKIN, GALINA I. STRELKOVA, and JÜRGEN KURTHS. "SPECTRAL AND CORRELATION ANALYSIS OF SPIRAL CHAOS." Fluctuation and Noise Letters 03, no. 02 (June 2003): L213—L221. http://dx.doi.org/10.1142/s0219477503001282.

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We study numerically the behavior of the autocorrelation function (ACF) and the power spectrum of spiral attractors without and in the presence of noise. It is shown that the ACF decays exponentially and has two different time scales. The rate of the ACF decrease is defined by the amplitude fluctuations on small time intervals, i.e., when τ < τ cor , and by the effective diffusion coefficient of the instantantaneous phase on large time intervals. It is also demonstrated that the ACF in the Poincare map also decreases according to the exponential law exp (- λ+ k), where λ+ is the positive Ly

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8

Li, Ming. "Power Spectrum of Generalized Fractional Gaussian Noise." Advances in Mathematical Physics 2013 (2013): 1–3. http://dx.doi.org/10.1155/2013/315979.

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Recently, we introduced a type of autocorrelation function (ACF) to describe a long-range dependent (LRD) process indexed with two parameters, which takes standard fractional Gaussian noise (fGn for short) as a special case. For simplicity, we call it the generalized fGn (GfGn). This short paper gives the power spectrum density function (PSD) of GfGn.

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9

Shitan, Mahendran, and Shelton Peiris. "A Note on the Properties of Generalised Separable Spatial Autoregressive Process." Journal of Probability and Statistics 2009 (2009): 1–11. http://dx.doi.org/10.1155/2009/847830.

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Spatial modelling has its applications in many fields like geology, agriculture, meteorology, geography, and so forth. In time series a class of models known as Generalised Autoregressive (GAR) has been introduced by Peiris (2003) that includes an index parameterδ. It has been shown that the inclusion of this additional parameter aids in modelling and forecasting many real data sets. This paper studies the properties of a new class of spatial autoregressive process of order 1 with an index. We will call this aGeneralised Separable Spatial Autoregressive(GENSSAR) Model. The spectral density fun

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10

Chui, Ming Wei, You Qian Feng, Wei Wang, Pei Lin Li, and Zheng Chao Li. "Numerical Simulation of Rough Surface with Crossed Texture." Applied Mechanics and Materials 321-324 (June 2013): 196–200. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.196.

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To meet the demands for rough surfaces data in the research of surface engineering, contacts characteristic and so on, a new numerical simulation of rough surface is proposed. Based on FFT method, rough surface with single direction texture is simulated with circular cosine-exponent autocorrelation function (ACF), and the generated surface is rotated of different given angles respectively by rotation of reference system, then the rough surface with multi-direction texture is created by synthesizing the rotated surfaces. The simulation results show that, the ACF curves of generated surface is p

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11

Zhang, Yan Min, Xing Guang Qi, and Qing Hua Li. "Simulation of Dynamic Light Scattering Signal Based on AR Model." Applied Mechanics and Materials 571-572 (June 2014): 840–44. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.840.

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According to the autocorrelation function (ACF) of the ultrafine particles, the auto-regressive (AR) model used for dynamic light scattering (DLS) signals simulation can be established. By the method, DLS signals for nanoparticles distribution are simulated respectively and every ACF of simulation signal performs a great agreement with its theory value. The simulation signals were respectively inversed and inversion errors are less than 5.25%. The particles size inversions of Photon Correlation Spectroscopy (PCS) are obtained by Morozov discrepancy principle. Experiments show that the method b

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12

Sumioka, T., and Y. Ando. "On the pitch identification of complex tones by the autocorrelation function (ACF) model." Journal of the Acoustical Society of America 100, no. 4 (October 1996): 2720. http://dx.doi.org/10.1121/1.416159.

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13

Zhong, Xin, Chi Hang Zhao, and Jie He. "Study on Four Parameters Estimation’s Methods of Time-Series Model in Modeling the Signal of a Quartz Flex Accelerometer." Applied Mechanics and Materials 128-129 (October 2011): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.329.

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Box-Jenkins method of time series in modeling the signal of quartz flex accelerometer is studied in the paper. Firstly, a JSD-I/A quartz flex accelerometer is placed on a level test bench, and the output signal of the JSD-I/A quartz flex accelerometer is acquired. Secondly, the acquired signal of the JSD-I/A quartz flex accelerometer is preprocessed by Db3 wavelet denoising, trend items exacting, and standardized processing. Thirdly, The statistical characteristics of autocorrelation function (ACF) and partial autocorrelation function (PACF) of the processed time series data are analyzed, and

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14

Li, Ming, and Wei Zhao. "Variance Bound of ACF Estimation of One Block of fGn with LRD." Mathematical Problems in Engineering 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/560429.

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This paper discusses the estimation of autocorrelation function (ACF) of fractional Gaussian noise (fGn) with long-range dependence (LRD). A variance bound of ACF estimation of one block of fGn with LRD for a given value of the Hurst parameter (H) is given. The present bound provides a guideline to require the block size to guarantee that the variance of ACF estimation of one block of fGn with LRD for a givenHvalue does not exceed the predetermined variance bound regardless of the start point of the block. In addition, the present result implies that the error of ACF estimation of a block of f

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15

CHOI, HYUNG WOOC, SEONG EUN MAENG, and JAE WOO LEE. "EFFECTS OF INTRADAY PATTERNS ON ANALYSIS OF STOCK MARKET INDEX AND TRADING VOLUME." International Journal of Modern Physics: Conference Series 16 (January 2012): 41–50. http://dx.doi.org/10.1142/s2010194512007763.

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We review the stylized properties of the stock market and consider effects of the intraday patterns on the analysis of the time series for the stock index and the trading volume in Korean stock market. In the stock market the probability distribution function (pdf) of the return and volatility followed the power law for the stock index and the change of the volume traded. The volatility of the stock index showed the long-time memory and the autocorrelation function followed a power law. We applied two eliminating methods of the intraday patterns: the intraday patterns of the time series itself

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16

Zuo, Jiajun, Ruijuan Yang, Shaohua Luo, and Xiaobai Li. "Training Sequence Design of TDS-OFDM Signal in Joint Radar and Communication System." Mathematical Problems in Engineering 2019 (July 30, 2019): 1–10. http://dx.doi.org/10.1155/2019/3914314.

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In the joint radar and communication system, using orthogonal frequency division multiplexing (OFDM) signals, cyclic prefix (CP) and pilots lead to the problem of high peak at the sidelobe (PSL) level in autocorrelation function (ACF), which deteriorates the radar detection performance seriously. To solve this problem, first, a new RadCom signal based on time-domain synchronization OFDM (TDS-OFDM) was proposed. TDS-OFDM adopts training sequence (TS) for guard interval, as well as synchronization and channel estimation, so that CP and pilots can be avoided. And then, ambiguity function (AF) of

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17

Papamarkou, T., and A. J. Lawrance. "Nonlinear Dynamics of Trajectories Generated by Fully-Stretching Piecewise Linear Maps." International Journal of Bifurcation and Chaos 24, no. 05 (May 2014): 1450071. http://dx.doi.org/10.1142/s0218127414500710.

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This paper focuses on the nonlinear dynamical properties of chaotic orbits iteratively generated by maps composed of linear branches which expand across the whole map range. The nonlinear dynamics of such orbits involve both their statistical and chaotic properties. More specifically, analytical expressions are provided for the mean-adjusted quadratic autocorrelation function (ACF) and for the Lyapunov exponent of trajectories produced by the considered collection of piecewise linear maps.

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18

Chen, L. J., S. L. Cheng, C. H. Yu, P. Y. Su, H. H. Lin, and K. S. Chi. "Structural Evolution in Amorphous Silicon and Germanium Thin Films." Microscopy and Microanalysis 8, no. 4 (August 2002): 268–73. http://dx.doi.org/10.1017/s1431927602020202.

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The structural evolution in amorphous silicon and germanium thin films has been investigated by high-resolution transmission electron microscopy (HRTEM) in conjunction with autocorrelation function (ACF) analysis. The results established that the structure of as-deposited semiconductor films is of a high density of nanocrystallites embedded in the amorphous matrix. In addition, from ACF analysis, the structure of a-Ge is more ordered than that of a-Si. The density of embedded nanocrystallites in amorphous films was found to diminish with annealing temperature first, then to increase. The concl

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19

Zhang, Feng Wang, Wen Gang Che, Bei Bei Xu, and Jing Zhi Xu. "The Research of ARMA Model in CPI Time Series." Applied Mechanics and Materials 347-350 (August 2013): 3099–103. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3099.

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The changing trend of CPI to a certain extent reflects the degree of inflation, which has a great significance on macro-control and research on national economic. ARMA model is one of the simple and practical models in financial time series analysis with relatively high forecast accuracy. The paper utilizing Eviews software, through the statistical analysis of CPI from the year of 1995 to 2008 monthly in China, through the ADF unit root test [, by dint of the autocorrelation function ACF diagram [ and partial autocorrelation function PACF diagram [ to identify the model consequently establish

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20

Tatekura, Yosuke, Yusuke Honda, and Takayoshi Nakai. "Suitable Truncation of Room Impulse Response for Inverse Filter Design of Sound Reproduction System." Advanced Materials Research 222 (April 2011): 372–75. http://dx.doi.org/10.4028/www.scientific.net/amr.222.372.

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This paper introduces an automatic decision method for designing parameters of inverse filters to simplify realization of a high-performance sound reproduction system. The reproduced performance depends on several design parameters of the inverse filters that cancel the effect of room transfer functions (RTFs). Therefore, a method of determining the sample lengths of impulse responses of RTFs is proposed. In the proposed method, a suitable sample length of the impulse response is determined based on autocorrelation function (ACF) . The results of numerical simulations using real data reveal th

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21

Li, Yue, Di Zhang, Ilker Capoglu, Karl A. Hujsak, Dhwanil Damania, Lusik Cherkezyan, Eric Roth, et al. "Measuring the Autocorrelation Function of Nanoscale Three-Dimensional Density Distribution in Individual Cells Using Scanning Transmission Electron Microscopy, Atomic Force Microscopy, and a New Deconvolution Algorithm." Microscopy and Microanalysis 23, no. 3 (April 18, 2017): 661–67. http://dx.doi.org/10.1017/s1431927617000447.

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AbstractEssentially all biological processes are highly dependent on the nanoscale architecture of the cellular components where these processes take place. Statistical measures, such as the autocorrelation function (ACF) of the three-dimensional (3D) mass–density distribution, are widely used to characterize cellular nanostructure. However, conventional methods of reconstruction of the deterministic 3D mass–density distribution, from which these statistical measures can be calculated, have been inadequate for thick biological structures, such as whole cells, due to the conflict between the ne

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22

Korobeynikov, A. V. "Synthesis of a packet of pulse with phase manipulation with side lobes level 1/N at incoherent accumulation." Issues of radio electronics 49, no. 5 (July 5, 2020): 28–34. http://dx.doi.org/10.21778/2218-5453-2020-5-28-34.

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The paper is devoted to the problem of choosing a probing radar signal using optimal processing of a packet of pulses with unknown initial phases. A method for synthesizing a packet of phase-coded pulses is proposed, the total autocorrelation function (ACF) of which, with coordinated filtering and incoherent accumulation, has a side lobes level (SLL) of 1/N. The search criteria for binary codes for phase manipulation of a signal that are potentially capable of forming packets of pulses with relative SLL of 1/N are formulated and justified. An algorithm has been developed for searching codes wi

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23

Rosli, Siti Julia, Hasliza Rahim, Ruzelita Ngadiran, K. N. Abdul Rani, Muhammad Imran Ahmad, and Wee Fwen Hoon. "Design of Binary Coded Pulse Trains with Good Autocorrelation Properties for Radar Communications." MATEC Web of Conferences 150 (2018): 06016. http://dx.doi.org/10.1051/matecconf/201815006016.

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Finite length of sequences that are modulated both in phase and amplitude and have an ideal autocorrelation function (ACF) consisting of merely a pulse have many applications in control and communication systems. They are widely applied in control and communication systems, such as in pulse compression systems for radar and deep-space ranging problems [1-5]. In radar design, the important part is to choose a waveform, which is suitable to be transmitted because the waveform controls resolution in clutter performance. In addition, it can solve a general signal problem particularly related to th

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24

VASQUEZ, NICOLAS, and NOBUYUKI KAWAI. "PULSE CHARACTERIZATION OF GRBs WITH KNOWN REDSHIFT." International Journal of Modern Physics D 19, no. 06 (June 2010): 997–1002. http://dx.doi.org/10.1142/s0218271810016798.

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Gamma-ray Bursts (GRBs) are one of the most promising tools in the study of cosmology. The luminosity, energy, light curve parameters and spectral measures could yield to the calibration of standard candles in the Universe. Nevertheless, cosmological and non-cosmological effects are not well understood. Aiming to clarify the possible effects, we started to study the autocorrelation function (ACF) of a sample of GRBs with known redshift in the combined band of Swift (15–150 keV) and Suzaku (50 keV–5 Mev) satellites. We first confirmed the bimodal distribution of the cosmological corrected ACF r

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25

Thaib, Ilham, Gesit Thabrani, and Silvia Netsyah. "Peramalan dan deteksi outlier saham perusahaan angkutan laut umum di masa covid-19 dengan pemodelan arima." Jurnal Kajian Manajemen dan Wirausaha 3, no. 1 (June 30, 2021): 8. http://dx.doi.org/10.24036/jkmw02114850.

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The public sea freight sector is one of the affected by COVID-19. PT. Samudera Indonesia Tbk is one of the sea transportations companies in Indonesia. The ARIMA model in the previous study provided a statistical test with the aim of evaluating the suitability of the model with a p value of less than 0.05 to determine ARIMA by guessing through ACF (Autocorrelation Function) and PACF (Partial Autocorrelation Function) through stationary data. Outlier detection can be done by plotting the residuals from the specified model. Forecasting data for the next 5 days using the ARIMA (3,1,2) model can be

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26

Ksendzuk, A. V., and K. O. Kozlov. "ADAPTIVE CORRELATOR IN NON-EMITTING RADAR SYSTEMS." Issues of radio electronics, no. 3 (March 20, 2019): 41–45. http://dx.doi.org/10.21778/2218-5453-2019-3-41-45.

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The paper discusses a new method of processing information in non‑emitting radar systems, whose work is based on the use of a signal from third‑party sources – television and radio broadcasting transmitters, as well as cellular base stations. An adaptive correlator for such radar stations is proposed. The method is based on the analysis of the autocorrelation function (ACF) of a transmitter signal and the adaptive formation of detection areas, based on the properties of the current ACF. Statistical quality parameters were introduced to evaluate the developed method and these parameters were es

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27

Li, Jiangnan, Zhian Sun, and Feng Zhang. "Accounting for the surface temperature persistence by using signal energy." Theoretical and Applied Climatology 144, no. 1-2 (February 9, 2021): 363–77. http://dx.doi.org/10.1007/s00704-020-03493-w.

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AbstractThe autocorrelation function (ACF) and its finite Fourier transform, referred to as signal energy, have been investigated using the ECMWF daily surface temperature data. ACF itself provides a measure of the influence of leading fluctuation between two different time points. Considering the decay of ACF, it is found that the scaling power-rule of ACF is only valid in a very short period, as the decay of ACF exists before it reaches a random noise state. Therefore, the method of the critical exponent of ACF is limited in the short length of the temporal interval. On the other hand, the d

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28

Wu, Hua Bing, Jun Liang Liu, Yuan Zhang, and Yong Hui Hu. "An Improved Acquisition Method for High-Order BOC-Modulated Signals Based on Fractal Geometry." Advanced Materials Research 846-847 (November 2013): 1185–88. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1185.

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This paper proposes an improved acquisition method for high-order binary-offset-carrier (BOC) modulated signals based on fractal geometry. We introduced the principle of our acquisition method, and outlined its framework. We increase the main peak to side peaks ratio in the BOC autocorrelation function (ACF), with a simple fractal geometry transform. The proposed scheme is applicable to both generic high-order sine-and cosine-phased BOC-modulated signals. Simulation results show that the proposed method increases output signal to noise ratio (SNR).

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André, R., M. Pinnock, J. P. Villain, and C. Hanuise. "Influence of magnetospheric processes on winter HF radar spectra characteristics." Annales Geophysicae 20, no. 11 (November 30, 2002): 1783–93. http://dx.doi.org/10.5194/angeo-20-1783-2002.

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Abstract. This study investigates further the relationship between regions of the magnetosphere and the characteristics of HF radar Doppler spectra recorded in the ionospheric projection of those regions. It builds on earlier work, which has reported a relationship between the Doppler spectral width and the ionospheric projection of the magnetospheric cusp region, by introducing novel techniques for classifying the Doppler spectra recorded by the SuperDARN radars. We first review the geophysical factors that can condition the characteristics of the autocorrelation function (ACF) data produced

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Martínez-Acosta, Luisa, Juan Pablo Medrano-Barboza, Álvaro López-Ramos, John Freddy Remolina López, and Álvaro Alberto López-Lambraño. "SARIMA Approach to Generating Synthetic Monthly Rainfall in the Sinú River Watershed in Colombia." Atmosphere 11, no. 6 (June 8, 2020): 602. http://dx.doi.org/10.3390/atmos11060602.

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Seasonal Auto Regressive Integrative Moving Average models (SARIMA) were developed for monthly rainfall time series. Normality of the rainfall time series was achieved by using the Box Cox transformation. The best SARIMA models were selected based on their autocorrelation function (ACF), partial autocorrelation function (PACF), and the minimum values of the Akaike Information Criterion (AIC). The result of the Ljung–Box statistical test shows the randomness and homogeneity of each model residuals. The performance and validation of the SARIMA models were evaluated based on various statistical m

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Han, Qi, Kejia Zhu, Caibo Hu, He Zhao, Shuang Wu, and Yu Fu. "BOC Signal Acquisition Algorithm Based on Similar Enfoldment." International Journal of Aerospace Engineering 2020 (February 25, 2020): 1–19. http://dx.doi.org/10.1155/2020/4314132.

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A BOC signal has been widely used in the Global Navigation Satellite System (GNSS). Although the BOC signal has many advantages, the autocorrelation function (ACF) of the BOC signal has lots of peaks, which makes signal acquisition difficult. This paper proposes a similar enfoldment acquisition (SEA) algorithm, which can be applied to sin-BOC and cos-BOC signals, with even and odd modulation orders. The SEA algorithm utilizes the similarity between the main peak and the secondary peak to construct a new ACF to eliminate the ambiguity of the BOC signal. This paper simulates the acquisition perf

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Avazov, Nurilla, and Matthias Pätzold. "Design of Wideband MIMO Car-to-Car Channel Models Based on the Geometrical Street Scattering Model." Modelling and Simulation in Engineering 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/264213.

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We propose a wideband multiple-input multiple-output (MIMO) car-to-car (C2C) channel model based on the geometrical street scattering model. Starting from the geometrical model, a MIMO reference channel model is derived under the assumption of single-bounce scattering in line-of-sight (LOS) and non-LOS (NLOS) propagation environments. The proposed channel model assumes an infinite number of scatterers, which are uniformly distributed in two rectangular areas located on both sides of the street. Analytical solutions are presented for the space-time-frequency cross-correlation function (STF-CCF)

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Hariri, A., J. W. Zu, and R. Ben Mrad. "n -Point Asperity Model for Contact Between Nominally Flat Surfaces." Journal of Tribology 128, no. 3 (March 10, 2006): 505–14. http://dx.doi.org/10.1115/1.2194915.

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For several decades, asperities of nominally flat rough surfaces were considered to be points higher than their immediate neighbors. Recently, it has been recognized that this model is incorrect. To address the issue, a new multiple-point asperity model, called the n-point asperity model, is introduced in this paper. In the new model, asperities are composed of n neighboring sampled points with n-2 middle points being above a certain level. When the separation between two surfaces decreases, new asperities with higher number of sample points, n, will come into existence. Based on the above mod

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Liu, Zhijun, Baiyu Li, Xiangwei Zhu, Lixun Li, and Guangfu Sun. "Band-Pass Sampling in High-Order BOC Signal Acquisition." Applied Sciences 8, no. 11 (November 12, 2018): 2226. http://dx.doi.org/10.3390/app8112226.

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The binary offset carrier (BOC) modulation, which has been adopted in modern global navigation satellite systems (GNSS), provides a higher spectral compatibility with BPSK signals, and better tracking performance. However, the autocorrelation function (ACF) of BOC signals has multiple peaks. This feature complicates the acquisition process, since a smaller time searching step is required, which results in longer searching time or greater amounts of hardware resources. Another problem is the high Nyquist frequency, which leads to high computational complexity and power consumption. In this pape

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Alsharif, Mohammed, Mohammad Younes, and Jeong Kim. "Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea." Symmetry 11, no. 2 (February 15, 2019): 240. http://dx.doi.org/10.3390/sym11020240.

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Forecasting solar radiation has recently become the focus of numerous researchers due to the growing interest in green energy. This study aims to develop a seasonal auto-regressive integrated moving average (SARIMA) model to predict the daily and monthly solar radiation in Seoul, South Korea based on the hourly solar radiation data obtained from the Korean Meteorological Administration over 37 years (1981–2017). The goodness of fit of the model was tested against standardized residuals, the autocorrelation function, and the partial autocorrelation function for residuals. Then, model performanc

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Mahey, Rachna. "To investigate the Temporal and Spatial correlation behavioral characteristics of MIMO fading channels." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 7 (May 15, 2015): 5895–910. http://dx.doi.org/10.24297/ijct.v14i7.1906.

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This paper deals with the analysis of performance bounds of narrowband multiple-input multiple-output (MIMO) fading channels considering the transmission links from the mobile station (MS) to the base station (BS) through non-line-of-sight (NLOS) propagation conditions. It is assumed that an infinite number of local scatterers surround the MS and the BS. The Temporal as well as Spatial correlation properties of channel models are explored along with their capacity. The effect of number of scatterers; Doppler frequency; and isotropic/non-isotropic scattering conditions, on MIMO channel models i

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Hughson, R. L., L. A. Cuervo, A. E. Patla, D. A. Winter, H. C. Xing, B. H. Dietrich, and G. D. Swanson. "Time domain analysis of oxygen uptake during pseudorandom binary sequence exercise tests." Journal of Applied Physiology 71, no. 4 (October 1, 1991): 1620–26. http://dx.doi.org/10.1152/jappl.1991.71.4.1620.

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Pseudorandom binary sequence (PRBS) exercise tests involve repeated switching between two work rates (WR) according to a computer-generated pattern. This paper presents an approach to analysis of O2 uptake (VO2) in the time domain. First, the autocorrelation function (ACF) of the input WR was recognized to be a triangular-shaped pulse that can be taken to be equivalent to a ramp increase followed by a ramp decrease in WR. Then the cross-correlation function of the input (WR) and the output (VO2) was treated as if it were the response to a triangular-shaped pulse. The cross-correlation function

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Bécares, Eloy, Susana Romo, and Margarita Fernandez-Aláez. "Population dynamics using temporal series analysis in a industrial two-stage activated sludge pilot plant." Water Science and Technology 37, no. 4-5 (February 1, 1998): 255–58. http://dx.doi.org/10.2166/wst.1998.0638.

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A time series analysis using an autocorrelation function (ACF) was used to assess the relative importance of density (DD) and non density-dependent - (NDD) factors on microfauna abundance of a two-stage activated sludge pilot plant treating industrial effluents. Although some previous work has detected a carrying capacity for the total microfauna abundance in both reactors, ACF showed a general pattern of non-density dependent abundance regulation. Stationarity due to density-dependent factors was observed for the two major species in the first reactor, the sessile Opercularia asymmetrica and

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Delignières, Didier. "Correlation Properties of (Discrete) Fractional Gaussian Noise and Fractional Brownian Motion." Mathematical Problems in Engineering 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/485623.

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The fractional Gaussian noise/fractional Brownian motion framework (fGn/fBm) has been widely used for modeling and interpreting physiological and behavioral data. The concept of 1/fnoise, reflecting a kind of optimal complexity in the underlying systems, is of central interest in this approach. It is generally considered that fGn and fBm represent a continuum, punctuated by the boundary of “ideal” 1/fnoise. In the present paper, we focus on the correlation properties of discrete-time versions of these processes (dfGn and dfBm). We especially derive a new analytical expression of the autocorrel

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Soeta, Yoshiharu, and Ei Onogawa. "Psycho-physiological evaluations of low-level impulsive sounds produced by air conditioners." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 5 (August 1, 2021): 1186–93. http://dx.doi.org/10.3397/in-2021-1771.

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Air conditioners are widely used in buildings to maintain thermal comfort for long time. Air conditioners produce sounds during operation, and air conditioners are regarded as one of the main noise sources in buildings. Most sounds produced by the air conditioner do not fluctuate over time and sound quality of the steady sounds produced by the air conditioner have been evaluated. However, air conditioners sometimes produce low-level and impulsive sounds. Customers criticizes such sounds are annoying when they sleep and they spend time quietly in the living room. The aim of this study was to de

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Jiang, Kaili, Xiaomin Chen, Qiuming Zhu, Lele Chen, Dazhuan Xu, and Bing Chen. "A Novel Simulation Model for Nonstationary Rice Fading Channels." Wireless Communications and Mobile Computing 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/8086073.

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In this paper, we propose a new simulator for nonstationary Rice fading channels under nonisotropic scattering scenarios, as well as the improved computation method of simulation parameters. The new simulator can also be applied on generating Rayleigh fading channels by adjusting parameters. The proposed simulator takes into account the smooth transition of fading phases between the adjacent channel states. The time-variant statistical properties of the proposed simulator, that is, the probability density functions (PDFs) of envelope and phase, autocorrelation function (ACF), and Doppler power

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Sun, Xiyan, Shaojie Song, Yuanfa Ji, Xingli Gan, Suqing Yan, and Xizi Jia. "An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function." Sensors 21, no. 6 (March 11, 2021): 1982. http://dx.doi.org/10.3390/s21061982.

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Binary offset carrier (BOC) modulation is a new modulation method that has been gradually applied to the Global Satellite Navigation System (GNSS) in recent years. However, due to the multi-peaks in its auto-correlation function (ACF), it will incur a false lock and generate synchronization ambiguous potentially. In this paper, an unambiguous synchronization method based on a reconstructed correlation function is proposed to solve the ambiguity problem. First, through the shape code vector constructed in this paper, the general cross-correlation function (CCF) expression of the BOC modulated s

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Huang, Xiaoqian, Weiping Ma, Chikin Law, Jianfeng Luo, and Naiqing Zhao. "Importance of applying Mixed Generalized Additive Model (MGAM) as a method for assessing the environmental health impacts: Ambient temperature and Acute Myocardial Infarction (AMI), among elderly in Shanghai, China." PLOS ONE 16, no. 8 (August 12, 2021): e0255767. http://dx.doi.org/10.1371/journal.pone.0255767.

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Association between acute myocardial infarction (AMI) morbidity and ambient temperature has been examined with generalized linear model (GLM) or generalized additive model (GAM). However, the effect size by these two methods might be biased due to the autocorrelation of time series data and arbitrary selection of degree of freedom of natural cubic splines. The present study analyzed how the climatic factors affected AMI morbidity for older adults in Shanghai with Mixed generalized additive model (MGAM) that addressed these shortcomings mentioned. Autoregressive random effect was used to model

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Kumar, Varun, Abhay Singh, Mrinmoy Adhikary, Shailaja Daral, Anita Khokhar, and Saudan Singh. "Seasonality of Tuberculosis in Delhi, India: A Time Series Analysis." Tuberculosis Research and Treatment 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/514093.

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Background. It is highly cost effective to detect a seasonal trend in tuberculosis in order to optimize disease control and intervention. Although seasonal variation of tuberculosis has been reported from different parts of the world, no definite and consistent pattern has been observed. Therefore, the study was designed to find the seasonal variation of tuberculosis in Delhi, India.Methods. Retrospective record based study was undertaken in a Directly Observed Treatment Short course (DOTS) centre located in the south district of Delhi. Six-year data from January 2007 to December 2012 was anal

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Hariri, A., J. W. Zu, and R. Ben Mrad. "Modeling of Elastic/Plastic Contact Between Nominally Flat Rough Surfaces Using an n-Point Asperity Model." Journal of Tribology 128, no. 4 (May 3, 2006): 876–85. http://dx.doi.org/10.1115/1.2345409.

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The asperities of rough surfaces have long been considered to be points higher than their immediate neighbors. Based on this concept, theories were developed for quantitatively understanding the elastic and plastic nature of contact between rough surfaces. Recently it has been recognized that the above model for asperities is inadequate. Consequently, all the models that have been constructed based on that model are inadequate too. In this paper, based on a newly developed multiple-point asperity model, the elastic and plastic contact problem between nominally flat surfaces is reformulated. Th

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Hsu, Fengchi, Mikhail Zhizhin, Tilottama Ghosh, Christopher Elvidge, and Jay Taneja. "The Annual Cycling of Nighttime Lights in India." Remote Sensing 13, no. 6 (March 21, 2021): 1199. http://dx.doi.org/10.3390/rs13061199.

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India is known to have unstable power supply, and many locations show an annual cycle in VIIRS Nighttime Light (VNL). In this study, autocorrelation function (ACF) analysis is used to identify the annual cycling in VNL. Two fundamentally different classification techniques are proposed to classify the ACF profile into one of the three arch types, i.e., acyclic, single peak, and dual peak. The results from the two classification techniques are closely compared to verify their output. This analysis is carried out for the entire territory of India in 15 arc second grid cells. The power stability

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Archer, Michael. "The social wasp Vespula germanica (Fabricius) (Hymenoptera: Vespidae) population dynamics in England over 39 years." Entomologist's Monthly Magazine 154, no. 2 (April 28, 2018): 149–55. http://dx.doi.org/10.31184/m00138908.1542.3906.

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1. Yearly records of worker Vespula germanica (Fabricius) taken in suction traps at Silwood Park (28 years) and at Rothamsted Research (39 years) are examined. 2. Using the autocorrelation function (ACF), a significant negative 1-year lag followed by a lesser non-significant positive 2-year lag was found in all, or parts of, each data set, indicating an underlying population dynamic of a 2-year cycle with a damped waveform. 3. The minimum number of years before the 2-year cycle with damped waveform was shown varied between 17 and 26, or was not found in some data sets. 4. Ecological factors de

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Tripathi, Rahul, A. K. Nayak, R. Raja, Mohammad Shahid, Anjani Kumar, Sangita Mohanty, B. B. Panda, B. Lal, and Priyanka Gautam. "Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models." Advances in Agriculture 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/621313.

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Forecasting of rice area, production, and productivity of Odisha was made from the historical data of 1950-51 to 2008-09 by using univariate autoregressive integrated moving average (ARIMA) models and was compared with the forecasted all Indian data. The autoregressive (p) and moving average (q) parameters were identified based on the significant spikes in the plots of partial autocorrelation function (PACF) and autocorrelation function (ACF) of the different time series. ARIMA (2, 1, 0) model was found suitable for all Indian rice productivity and production, whereas ARIMA (1, 1, 1) was best

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Agboola, S., P. Niyang, O. Olawepo, W. Ukponu, S. Niyang, I. Ujata, A. Ihueze, et al. "Forecasting the spread and total size of confirmed and discharged cases of COVID-19 in Nigeria using an ARIMA model." Statistical Journal of the IAOS 37, no. 2 (June 3, 2021): 517–22. http://dx.doi.org/10.3233/sji-200758.

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Coronavirus disease 2019 (COVID-19) has been considered a global threat spreading to Nigeria and posing major public health threats and concerns. This led to the introduction of internationally acceptable non-pharmaceutical interventions (NPI) such as lockdowns, social distancing, and mandatory use of face masks by the Nigerian government to curtail the disease. This study aims to develop an Autoregressive Integrated Moving Average (ARIMA) model to predict COVID-19 cases vis Total Confirmed Cases (TCC) and Total Discharged Cases (TDC) in Nigeria based on the daily data obtained from the Nigeri

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Ren, Zhicheng, Fangqi Zhang, Guoxin Zheng, Asad Saleem, and Ke Guan. "A 3D Non-Stationary Channel Model with Moving Mobile Station in Rectangular Tunnel." International Journal of Antennas and Propagation 2019 (May 2, 2019): 1–12. http://dx.doi.org/10.1155/2019/6750153.

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This paper presents a three-dimensional (3D) geometry-based stochastic model (GBSM) for capturing the non-stationarity of radio channel at 1.8 GHz in a rectangular tunnel. A time-variant (TV) complex channel gain is derived for obtaining the statistical properties in time, frequency, and spatial domains such as the time-variant autocorrelation function (TV-ACF), the time-variant Doppler power spectral density (TV-DPSD), and the time-variant spatial cross-correlation function (TV-CCF), respectively. Then the TV channel statistical properties at different time instants can be extracted and the n

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