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Thematische Bibliographien / Cross Correlation Peak

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Konferenzberichte

Auswahl der wissenschaftlichen Literatur zum Thema „Cross Correlation Peak“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 2. Februar 2022

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Zeitschriftenartikel zum Thema "Cross Correlation Peak"

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Chen, Chulung, and Jian-Shuen Fang. "Cross-correlation peak optimization on joint transform correlators." Optics Communications 178, no. 4-6 (2000): 315–22. http://dx.doi.org/10.1016/s0030-4018(00)00683-0.

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Mueller, Leonard J., Douglas W. Elliott, Garett M. Leskowitz, et al. "Uniform-sign cross-peak double-quantum-filtered correlation spectroscopy." Journal of Magnetic Resonance 168, no. 2 (2004): 327–35. http://dx.doi.org/10.1016/j.jmr.2004.03.017.

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Jiang, Nan, and Jian Wang. "The Theoretical Limits of Watermark Spread Spectrum Sequence." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/432740.

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At present, the spread spectrum (SS) sequences used in watermark include i.i.d. random sequences and the sequences used in SS communications. They appear earlier than digital watermark. Almost no researchers pay attention to whether they are really fit for watermark. In this paper, we compare the SS watermark channel and the traditional SS communication channel. We find out that their correlation property is different. Considering cropping and translation attacks, we define watermark auto- and cross-correlation and propose Loose Autocorrelation and Tight Cross-Correlation (LAC&TCC) propert

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Shim, J., S. Codis, C. Pichon, D. Pogosyan, and C. Cadiou. "The clustering of critical points in the evolving cosmic web." Monthly Notices of the Royal Astronomical Society 502, no. 3 (2021): 3885–910. http://dx.doi.org/10.1093/mnras/stab263.

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ABSTRACT Focusing on both small separations and baryonic acoustic oscillation scales, the cosmic evolution of the clustering properties of peak, void, wall, and filament-type critical points is measured using two-point correlation functions in ΛCDM dark matter simulations as a function of their relative rarity. A qualitative comparison to the corresponding theory for Gaussian random fields allows us to understand the following observed features: (i) the appearance of an exclusion zone at small separation, whose size depends both on rarity and signature (i.e. the number of negative eigenvalues)

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Buckett, M. I., L. D. Marks, and D. E. Luzzi. "Correlation analysis of structure images." Proceedings, annual meeting, Electron Microscopy Society of America 45 (August 1987): 752–53. http://dx.doi.org/10.1017/s0424820100128079.

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A typical high resolution structure image contains a large amount of intensity information which is masked by both statistical and amorphous noise. One useful method of quantifying such images is to employ correlation techniques. When one seeks to quantify the atom column positions, correlation techniques can be used to decompose the image into separate motifs (of specific peak amplitudes and positions - each motif corresponding to a single column of atoms), thereby reducing the data to a more manageable form.This problem can be considered as the least squares minimization of the function: whe

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Adachi, M., T. Ohshima, S. Yamada, and T. Satoh. "Cross-correlation analysis of taste neuron pairs in rat solitary tract nucleus." Journal of Neurophysiology 62, no. 2 (1989): 501–9. http://dx.doi.org/10.1152/jn.1989.62.2.501.

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1. Experiments were conducted to examine the possibility that the taste-sensitive neurons with similar taste-selectivity are preferentially innervated by common driving neurons whose taste-selectivity is also similar. 2. Multiple microelectrodes, in most cases a pair of glued electrodes, were inserted into the unilateral solitary tract nucleus (NTS) of the rat, and simultaneous recordings were made in neuron pairs responding to the four basic taste stimuli. The spike response density (RD) of each neuron during tastant stimulation was determined. Correlation coefficients of spike occurrence wer

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Marigheto, N., L. Venturi, D. Hibberd, K. M. Wright, G. Ferrante, and B. P. Hills. "Methods for peak assignment in low-resolution multidimensional NMR cross-correlation relaxometry." Journal of Magnetic Resonance 187, no. 2 (2007): 327–42. http://dx.doi.org/10.1016/j.jmr.2007.04.016.

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Tomás, María-Baralida, Belén Ferrer, and David Mas. "Influence of Neighborhood Size and Cross-Correlation Peak-Fitting Method on Location Accuracy." Sensors 20, no. 22 (2020): 6596. http://dx.doi.org/10.3390/s20226596.

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A known technique to obtain subpixel resolution by using object tracking through cross-correlation consists of interpolating the obtained correlation function and then refining peak location. Although the technique provides accurate results, peak location is usually biased toward the closest integer coordinate. This effect is known as the peak-locking error and it strongly limits this calculation technique’s experimental accuracy. This error may differ depending on the scene and algorithm used to fit and interpolate the correlation peak, but in general, it may be attributed to a sampling probl

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MA, CHUN-WANG, HUI-LING WEI, and YU-QI LI. "THE SYSTEMATIC BEHAVIOR IN THE FRAGMENTS OF THE CALCIUM ISOTOPES PROJECTILE FRAGMENTATION." International Journal of Modern Physics E 19, no. 08n09 (2010): 1545–52. http://dx.doi.org/10.1142/s0218301310015941.

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We have calculated the cross sections of the fragments produced in the projectile fragmentation of the even 36–52 Ca isotopes using the statistical abrasion-ablation model. The isospin effect in the projectile fragmentation are studied by investigating the peak positions and the widths of the fragment isotopic cross section distributions. The peak positions of the fragments isotopic cross section distributions have good linear correlation to the Z of the fragments and the correlations are fitted using the linear function. The correlations between slopes b and the binding energies of the neutro

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Chaves, C., C. Ibiapina, C. R. Andrade, R. Godinho, C. G. Alvim, and A. A. Cruz. "Correlation between peak nasal inspiratory flow and peak expiratory flow in children and adolescents." Rhinology journal 50, no. 4 (2012): 381–85. http://dx.doi.org/10.4193/rhino12.073.

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Background: PEAK nasal inspiratory flow (PNIF) has been proposed as a simple method to evaluate nasal patency. Asthma and allergic rhinitis are commonly associated, and lower airway assessment can provide information concerning an objective interpretation of nasal function. Aims: TO determine whether the PNIF is correlated with peak expiratory flow (PEF) in children and adolescents. Methods and results: Cross-sectional study carried out in healthy students randomly chosen in 14 public schools of the city of Belo Horizonte. PNIF and PEF were assessed for each subject as the following characteri

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Dissertationen zum Thema "Cross Correlation Peak"

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Srinivasan, Nirmala. "Cross-Correlation Of Biomedical Images Using Two Dimensional Discrete Hermite Functions." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1341866987.

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Buchteile zum Thema "Cross Correlation Peak"

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Dai, Xinzhi, Junwei Nie, Baiyu Li, Zukun Lu, and Gang Ou. "Analysis of Cross-Correlation Peak Distortion Caused by Antenna Array Space-Time Adaptive Processing." In China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4588-2_68.

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Lee, Sangwon, Byeolteo Park, Youngjai Kim, and Hyun Myung. "Peak Detection with Pile-Up Rejection Using Multiple-Template Cross-Correlation for MWD (Measurement While Drilling)." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16841-8_68.

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Hattori, Masazumi, Ilhyock Shim, and Yoshihiko Sugihara. "Volatility Contagion across the Equity Markets of Developed and Emerging Market Economies." In Macroeconomic Shocks and Unconventional Monetary Policy. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198838104.003.0005.

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Using variance risk premiums (VRPs) nonparametrically calculated from equity markets in selected major developed economies and emerging market economies (EMEs) over 2007–15, this chapter documents the correlation of VRPs across markets, examining whether equity fund flows work as a path through which VRPs spill over globally. It finds that VRPs tend to spike up during market turmoil such as the peak of the global financial crisis and the European debt crisis; that all cross-equity market correlations of VRPs are positive, and that some economy pairs exhibit high levels of the correlation. In terms of volatility contagion, it finds that an increase in US VRPs significantly reduces equity fund flows to other developed economies, but not those to EMEs, following the global financial crisis. Two-stage least squares estimation results show that equity fund flows are a channel for spillover of US VRPs to VRPs in other developed economies.

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"Findings and Analysis." In Achieving Peak Sales Performance for Optimal Business Value and Sustainability. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1639-3.ch005.

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This chapter presents the results of the data analysis. The data was collected and processed in accordance to the problems posed at the outset of this research, which was to understand which determinants impacted on SPP. The results of both the quantitative and qualitative data are presented in this chapter. The quantitative data analysis comprises of descriptive analysis, cross-tabulation, regression analysis, and correlation analysis. SPSS, a commercially available statistical software package, was used to perform the analysis. In addition, this chapter also reports the findings of the qualitative data analysis where the key themes were noted. The findings are structured in line with the literature review: organisational determinants, personal determinants, and symbiotic determinants. The data is presented in both quantitative (numerical) and qualitative (non-numerical) formats, as per the selected research methodology.

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Chae, K., S. Woo, S. Yoon, et al. "A generating scheme of a side-peak-free correlation function for TMBOC(6,1,4/33) signal tracking based on cross-correlations." In Applied System Innovation. CRC Press, 2016. http://dx.doi.org/10.1201/b21811-18.

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Malik, Sunesh, Rama Kishore Reddlapalli, and Girdhar Gopal. "GA-Based Optimized Image Watermarking Method With Histogram and Butterworth Filtering." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch043.

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The present paper proposes a new and significant method of optimization for digital image watermarking by using a combination of Genetic Algorithms (GA), Histogram and Butterworth filtering. In this proposed method, the histogram range selection of low frequency components is taken as a significant parameter which assists in bettering the imperceptibility and robustness against attacks. The tradeoff between the perceptual transparency and robustness is considered as an optimization puzzle which is solved with the help of Genetic Algorithm. As a result, the experimental outcomes of the present approach are obtained. These results are secure and robust to various attacks such as rotation, cropping, scaling, additive noise and filtering attacks. The peak signal to noise ratio (PSNR) and Normalized cross correlation (NC) are carefully analyzed and assessed for a set of images and MATLAB2016B software is employed as a means of accomplishing or achieving these experimental results.

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Konferenzberichte zum Thema "Cross Correlation Peak"

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Robinson, Mitchell B., Stefan Carp, Adriano Peruch, Nisan Ozana, and Maria Franceschini. "Continuous wave diffuse correlation spectroscopy beyond the water peak enabled by InGaAs SPAD cross correlation." In Neural Imaging and Sensing 2021, edited by Qingming Luo, Jun Ding, and Ling Fu. SPIE, 2021. http://dx.doi.org/10.1117/12.2578914.

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Young, C. N., R. Gilbert, D. A. Johnson, and E. J. Weckman. "Vector Positioning for Cross Correlation PIV." In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31171.

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Continuing advances in digital imaging technology stimulate greater interest in applying particle image velocimetry (PIV) over increasingly larger fields of view. Unfortunately when larger fields of view are analyzed, velocity gradients in the image become more localized. In addition, non-uniformities in image illumination and particle number density become more prevalent. These factors, coupled with the requirement that large areas of interest (AOIs) must be employed to measure the full range of velocity, cause degradation of correlation results (i.e. broadening and/or splintering of the cros

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Charonko, John J., and Pavlos P. Vlachos. "Estimation of Uncertainty Bounds From Cross Correlation Peak Ratio for Individual PIV Measurements." In ASME 2012 Fluids Engineering Division Summer Meeting collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/fedsm2012-72475.

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Numerous studies have established firmly that particle image velocimetry (PIV) is a robust method for non-invasive, quantitative measurements of fluid velocity, and that when carefully conducted, typical measurements can accurately detect displacements in digital images with a resolution well below a single pixel (in some cases well below a hundredth of a pixel). However, previously these estimates have only been able to provide guidance on the expected error for an average measurement under specific image quality and flow conditions. This paper demonstrates a new method for estimating the unc

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Kazemian, Mohsen, Pooria Varahram, Shaiful Jahari B. Hashim, Borhanuddin B. Mohd Ali, Somayeh Mohammady, and Nasri Sulaiman. "Peak-to-average power ratio reduction based on Cross-Correlation in OFDM systems." In 2014 16th International Conference on Advanced Communication Technology (ICACT). Global IT Research Institute (GIRI), 2014. http://dx.doi.org/10.1109/icact.2014.6778957.

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Chen, Jun, and Joseph Katz. "A Correlation Mapping Method to Eliminate the Peak-Locking Effect in PIV Analysis." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56400.

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“Peak-locking” causes deterministic mean measurement bias in most of the existing cross-correlation based algorithms for PIV data analysis. This phenomenon is inherent to the typical smooth curve-fitting through discrete correlation values which are used to obtain the sub-pixel accuracy in velocity. In this paper we introduce a new algorithm/method for obtaining the sub-pixel accuracy, which eliminates the peak-locking effect. We refer to this procedure as “correlation mapping method”. In an ideal case, the second exposure (image 2) in a PIV measurement can be regarded as a mapping of the firs

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Rhudy, Matthew, Brian Bucci, Jeffrey Vipperman, Jeffrey Allanach, and Bruce Abraham. "Microphone Array Analysis Methods Using Cross-Correlations." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10798.

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Due to civilian noise complaints and damage claims, there is a need to establish an accurate record of impulse noise generated at military installations. Current noise monitoring systems are susceptible to false positive detection of impulse events due to wind noise. In order to analyze the characteristics of noise events, multiple channel data methods were investigated. A microphone array was used to collect four channel data of military impulse noise and wind noise. These data were then analyzed using cross-correlation functions to characterize the input waveforms. Four different analyses of

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Nishihara, Takashi, Fumio Inada, Akira Yasuo, Ryo Morita, Akihiro Sakashita, and Jun Mizutani. "Turbulence-Induced Fluid Dynamic Forces Acting on Cross-Shaped Tube Bundle in Cross Flow." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32758.

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A cross-shaped tube bundle with dense arrangement may be designed for a lower plenum structure in a next generation LWR, though the characteristics of flow-induced vibration of this type of tube bundle remain virtually unknown. In this study, turbulence-induced fluid dynamic forces acting on a cross-shaped tube bundle with a dense arrangement subject to cross flow were measured by water tunnel tests with two types of scale models. One is a small-scale model to measure local fluid dynamic forces and their correlation length in the lift and drag direction. The other is a large-scale model to inv

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Shoji, Kota, and Satoki Ogiso. "Evaluation of Non-Line-Of-Sight Based on Peak to RMS Ratio of Cross-Correlation Function Between Two Microphones." In 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE). IEEE, 2019. http://dx.doi.org/10.1109/gcce46687.2019.9015215.

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Chen, Jun, and Joseph Katz. "Advances of the Correlation Mapping Method to Eliminate the Peak-Locking Effect in PIV Analysis." In ASME 2005 Fluids Engineering Division Summer Meeting. ASMEDC, 2005. http://dx.doi.org/10.1115/fedsm2005-77437.

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The Peak-locking effect causes mean bias in most of the existing correlation based algorithms for PIV data analysis. This phenomenon is inherent to the Sub-pixel Curve Fitting (SPCF) through discrete correlation values, which is used to obtain the sub-pixel part of the displacement. A new technique for obtaining sub-pixel accuracy, the Correlation Mapping Method (CMM), was proposed by Chen & Katz [1, 2]. This new method works effectively and the peak-locking disappears in all the previous test cases, including applying to both synthetic and experimental images. The random errors are also s

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Ergin, F. Go¨khan, Bo Beltoft Watz, Kaspars Erglis, and Andrejs Cebers. "Poor-Contrast Particle Image Processing in Microscale Mixing." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24900.

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Particle image velocimetry (PIV) often employs the cross-correlation function to identify average particle displacement in an interrogation window. The quality of correlation peak has a strong dependence on the signal-to-noise ratio (SNR), or contrast of the particle images. In fact, variable-contrast particle images are not uncommon in the PIV community: Strong light sheet intensity variations, wall reflections, multiple scattering in densely-seeded regions and two-phase flow applications are likely sources of local contrast variations. In this paper, we choose an image pair obtained in a mic

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