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Journal articles on the topic 'Aliasing Analysi'

Author: Grafiati

Published: 11 March 2023

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1

Smith, C. C., J. F. Dahl, and R. Joe Thornhill. "The Duality of Leakage and Aliasing and Improved Digital Spectral Analysis Techniques." Journal of Dynamic Systems, Measurement, and Control 118, no. 4 (December 1, 1996): 741–47. http://dx.doi.org/10.1115/1.2802351.

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When processing, recording, and analyzing continuous, analog signals or functions with a digital computer, information is lost when the signals are converted to digital form. When signals are sampled in one domain (time or frequency), the loss of information is characterized as aliasing in the other (frequency or time, respectively) domain. When a signal or function is truncated in one domain, the information loss is characterized as leakage in the other domain. It is shown that because of the dual nature of leakage and aliasing, that leakage in one domain reduces aliasing in the other domain and visa-versa. Examples of reducing leakage or aliasing in each domain by the dual in the other domain are given to illustrate. Since current art has not used time aliasing to reduce frequency leakage previously, a time alias processor for this purpose is described. A flat-top window function with spectral one frequency line in width is used in conjunction with the time alias processor to maintain leakage to within the nearest frequency line.

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2

Narita, Y., and K. H. Glassmeier. "Spatial aliasing and distortion of energy distribution in the wave vector domain under multi-spacecraft measurements." Annales Geophysicae 27, no. 8 (August 5, 2009): 3031–42. http://dx.doi.org/10.5194/angeo-27-3031-2009.

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Abstract. Aliasing is a general problem in the analysis of any measurements that make sampling at discrete points. Sampling in the spatial domain results in a periodic pattern of spectra in the wave vector domain. This effect is called spatial aliasing, and it is of particular importance for multi-spacecraft measurements in space. We first present the theoretical background of aliasing problems in the frequency domain and generalize it to the wave vector domain, and then present model calculations of spatial aliasing. The model calculations are performed for various configurations of the reciprocal vectors and energy spectra or distribution that are placed at different positions in the wave vector domain, and exhibit two effects on aliasing. One is weak aliasing, in which the true spectrum is distorted because of non-uniform aliasing contributions in the Brillouin zone. It is demonstrated that the energy distribution becomes elongated in the shortest reciprocal lattice vector direction in the wave vector domain. The other effect is strong aliasing, in which aliases have a significant contribution in the Brillouin zone and the energy distribution shows a false peak. These results give a caveat in multi-spacecraft data analysis in that spectral anisotropy obtained by a measurement has in general two origins: (1) natural and physical origins like anisotropy imposed by a mean magnetic field or a flow direction; and (2) aliasing effects that are imposed by the configuration of the measurement array (or the set of reciprocal vectors). This manuscript also discusses a possible method to estimate aliasing contributions in the Brillouin zone based on the measured spectrum and to correct the spectra for aliasing.

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3

Fahmy, Mahmoud N. "Measurement of aliasing in cepstrum analysis." Journal of the Acoustical Society of America 78, S1 (November 1985): S80. http://dx.doi.org/10.1121/1.2023011.

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4

Jekeli, Christopher. "Spherical harmonic analysis, aliasing, and filtering." Journal of Geodesy 70, no. 4 (January 1996): 214–23. http://dx.doi.org/10.1007/bf00873702.

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5

Heintze, Nevin, and Olivier Tardieu. "Ultra-fast aliasing analysis using CLA." ACM SIGPLAN Notices 36, no. 5 (May 2001): 254–63. http://dx.doi.org/10.1145/381694.378855.

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6

Jekeli, C. "Spherical harmonic analysis, aliasing, and filtering." Journal of Geodesy 70, no. 4 (January 1, 1996): 214–23. http://dx.doi.org/10.1007/s001900050010.

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7

Lal, Akash, and G. Ramalingam. "Reference count analysis with shallow aliasing." Information Processing Letters 111, no. 2 (December 2010): 57–63. http://dx.doi.org/10.1016/j.ipl.2010.08.003.

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8

Gensun, Fang. "Whittaker–Kotelnikov–Shannon Sampling Theorem and Aliasing Error." Journal of Approximation Theory 85, no. 2 (May 1996): 115–31. http://dx.doi.org/10.1006/jath.1996.0033.

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9

Kim, Wook-Joong, Nam-Ho Hur, and Jin-Woong Kim. "Geometric analysis and anti-aliasing filter for stereoscopic 3D image scaling." Journal of Broadcast Engineering 14, no. 5 (September 30, 2009): 638–49. http://dx.doi.org/10.5909/jbe.2009.14.5.638.

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10

Ryglicki, David R., and Daniel Hodyss. "A Deeper Analysis of Center-Finding Techniques for Tropical Cyclones in Mesoscale Models. Part I: Low-Wavenumber Analysis." Journal of Applied Meteorology and Climatology 55, no. 3 (March 2016): 531–59. http://dx.doi.org/10.1175/jamc-d-15-0125.1.

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AbstractA deeper analysis of possible errors and inconsistencies in the analysis of vortex asymmetries owing to the placement of centers of tropical cyclones (TCs) in mesoscale models is presented. Previous works have established that components of the 2D and 3D structure of these TCs—primarily radial wind and vertical tilt—can vary greatly depending on how the center of a model TC is defined. This work will seek to expand the previous research on this topic, but only for the 2D structure. To be specific, this work will present how low-wavenumber azimuthal Fourier analyses can vary with center displacement using idealized, parametric TC-like vortices. It is shown that the errors associated with aliasing the mean are sensitive primarily to the difference between the peak of vorticity inside the radius of maximum winds and the average vorticity inside the core. Tangential wind and vorticity aliasing occur primarily in the core; radial wind aliasing spans the whole of the vortex. It is also shown that, when adding low-wavenumber asymmetries, the aliasing is dependent on the placement of the center relative to the location of the asymmetries on the vortex. It is also shown that the primary concern for 2D analysis when calculating the center of a TC is correctly resolving azimuthal wavenumber 0 tangential wind, because errors here will alias onto all higher wavenumbers, the specific structures of which are dependent on the structure of the mean vortex itself.

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11

Williams, T. W., W. Daehn, M. Gruetzner, and C. W. Starke. "Aliasing Errors in Signature in Analysis Registers." IEEE Design & Test of Computers 4, no. 2 (April 1987): 39–45. http://dx.doi.org/10.1109/mdt.1987.295105.

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12

Hinich, Melvin J., and Murray A. Wolinsky. "A Test for Aliasing Using Bispectral Analysis." Journal of the American Statistical Association 83, no. 402 (June 1988): 499–502. http://dx.doi.org/10.1080/01621459.1988.10478623.

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13

Zhang, Sean, Barbara G. Ryder, and William A. Landi. "Experiments with combined analysis for pointer aliasing." ACM SIGPLAN Notices 33, no. 7 (July 1998): 11–18. http://dx.doi.org/10.1145/277633.277635.

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14

Hamada, M., and C. F. J. Wu. "Analysis of Designed Experiments with Complex Aliasing." Journal of Quality Technology 24, no. 3 (July 1992): 130–37. http://dx.doi.org/10.1080/00224065.1992.11979383.

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15

Biondi, Biondo. "Kirchhoff imaging beyond aliasing." GEOPHYSICS 66, no. 2 (March 2001): 654–66. http://dx.doi.org/10.1190/1.1444956.

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Crucial image resolution may be lost when spatially aliased data are imaged with Kirchhoff algorithms that employ standard antialiasing methods. To maximize resolution, I introduce a method that enables the proper imaging of some aliased components in the data, while avoiding aliasing artifacts. The proposed method is based on a detailed analysis of the different types of aliasing that affect Kirchhoff imaging. In particular, it is based on the observation that operator aliasing depends on the dip spectrum of the data. A priori knowledge on the characteristics of the dip spectrum of the data, in particular on its asymmetry, can thus be exploited to enable “imaging beyond aliasing.” The method is not of general applicability, but it successfully improves the image resolution when a priori assumptions on the data dips are realistic. The imaging of salt‐dome flanks in the Gulf of Mexico has been enhanced by the application of the proposed method.

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16

Zhao, Chengwu, Junqiang Song, Hongze Leng, and Juan Zhao. "Potential Uncertainties in the Analysis of Low-Wavenumber Asymmetries Caused by Aliasing Center in Tropical Cyclones." Atmosphere 10, no. 6 (June 1, 2019): 300. http://dx.doi.org/10.3390/atmos10060300.

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Variations in both symmetric wind components and asymmetric wave amplitudes of a tropical cyclone depend on the location of its center. Because the radial structure of asymmetries is critical to the wave–mean interaction, this study, under idealized conditions, examines the influences of a center location on the radial structure of the diagnosed asymmetries. It has been found that the amplitudes of aliasing asymmetries are mainly affected by the initial symmetric fields. Meanwhile, the radial structure of asymmetry is controlled by the aliasing direction. Sensitivity tests on the location of the center were employed to emphasize the importance of the aliasing direction using angular momentum equations. With a small displacement, the tendencies of azimuthal tangential wind are found to reverse completely when the center shifts to a different direction. This work concludes that the diagnostic results related to asymmetric decomposition should be treated rigorously, as they are prone to inaccuracies, which in turn affect cyclone prediction.

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17

Mirzaei, Ahmad, Saeed Chehrazi, Rahim Bagheri, and Asad A. Abidi. "Analysis of first-order anti-aliasing integration sampler." IEEE Transactions on Circuits and Systems I: Regular Papers 55, no. 10 (November 2008): 2994–3005. http://dx.doi.org/10.1109/tcsi.2008.924127.

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18

Landi, William, Barbara G. Ryder, and Sean Zhang. "Interprocedural modification side effect analysis with pointer aliasing." ACM SIGPLAN Notices 28, no. 6 (June 1993): 56–67. http://dx.doi.org/10.1145/173262.155096.

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19

Venet, A. "Automatic analysis of pointer aliasing for untyped programs." Science of Computer Programming 35, no. 2-3 (November 1999): 223–48. http://dx.doi.org/10.1016/s0167-6423(99)00012-x.

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20

Saxena, N. R., and E. J. McCluskey. "Parallel signature analysis design with bounds on aliasing." IEEE Transactions on Computers 46, no. 4 (April 1997): 425–38. http://dx.doi.org/10.1109/12.588057.

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21

Chia, Chen Ciang, and Jung Ryul Lee. "Anti-Aliasing for the Visualization of Wavefield Propagation." Applied Mechanics and Materials 629 (October 2014): 493–97. http://dx.doi.org/10.4028/www.scientific.net/amm.629.493.

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Visualization of wavefield propagation has been evolving as one of the most significant nondestructive imaging methods for structural damage evaluation and shock analysis. Corresponding visualization systems that are commonly used are potentially affected by aliasing due to the nature of discrete sampling in spatial and temporal domains. This study was conducted to define the problem and produce a spatial sampling guideline for aliasing-free visualization. Experimental demonstration was given at various spatial sampling rates for comparison. The results verified that the guideline is valid and can be used for quick determination of aliasing-free spatial sampling rate prior to experiment. Special guideline for post-sampling optimization was also presented.

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22

Zhang, Hui, Feng Han, Xiao Yan Bao, and Hua Yao Mao. "Investigation on Spectral Aliasing Error Resulted from Truncating Signals Incoherently." Applied Mechanics and Materials 568-570 (June 2014): 208–11. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.208.

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The aliasing error resulted from truncating signals incoherently is one of main spectrum errors. The investigation on the error remains quite limited. This restricted the development of high accuracy spectrum analysis. This work discussed the truncation effect and the corresponding aliasing error in quantity, and revealed its dependence upon the truncation conditions. Then a concise technique was proposed to suppress the truncation aliasing error of DFT spectrum by modifying the first datum of the digital signal in time domain. Under general truncation conditions, the simulations show that the error correction of the 5 spectral lines near the main lobe is effective and the maximum absolute error of the main spectral line is decreased from ±2.4‰ to ±0.5‰.

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23

Olenko, Andrew Ya, and Tibor K. Pogány. "Time shifted aliasing error upper bounds for truncated sampling cardinal series." Journal of Mathematical Analysis and Applications 324, no. 1 (December 2006): 262–80. http://dx.doi.org/10.1016/j.jmaa.2005.12.008.

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24

Toloza, Julio H., and Alfredo Uribe. "Oversampling and aliasing in de Branges spaces arising from Bessel operators." Journal of Mathematical Analysis and Applications 492, no. 1 (December 2020): 124428. http://dx.doi.org/10.1016/j.jmaa.2020.124428.

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25

Hu, Denghui, and Yongsheng Xu. "A New Method of De-Aliasing Large-Scale High-Frequency Barotropic Signals in the Mediterranean Sea." Remote Sensing 12, no. 13 (July 6, 2020): 2157. http://dx.doi.org/10.3390/rs12132157.

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With the development of satellite observation technology, higher resolution and shorter return cycle have also placed higher demands on satellite data processing. The non-tide high-frequency barotropic oscillation in the marginal sea produces large aliasing errors in satellite altimeter observations. In previous studies, the satellite altimeter aliasing correction generally relied on a few bottom pressure data or the model data. Here, we employed the high-frequency tide gauge data to extract the altimeter non-tide aliasing correction in the west Mediterranean Sea. The spatial average method and EOF analysis method were adopted to track the high-frequency oscillation signals from 15 tide gauge records (TGs), and then were used to correct the aliasing errors in the Jason-1 and Envisat observations. The results showed that the EOF analysis method is better than the spatial average method in the altimeter data correction. After EOF correction, 90% of correlation (COR) between TG and sea level of Jason-1 has increased ~5%, and ~3% increase for the Envisat sea level; for the spatial average correction method, only ~70% of Jason-1 and Envisat data at the TGs location has about 2% increase in correlation. The EOF correction reduced the average percentage of error variance (PEL) by ~30%, while the spatial average correction increased the average percentage of PEL by ~20%. After correction by the EOF method, the altimeter observations are more consistent with the distribution of strong currents and eddies in the west Mediterranean Sea. The results prove that the proposed EOF method is more effective and accurate for the non-tide aliasing correction.

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26

BERGER, MARTIN, KOHEI HONDA, and NOBUKO YOSHIDA. "A logical analysis of aliasing in imperative higher-order functions." Journal of Functional Programming 17, no. 4-5 (July 2007): 473–546. http://dx.doi.org/10.1017/s0956796807006417.

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AbstractWe present a compositional programme logic for call-by-value imperative higher-order functions with general forms of aliasing, which can arise from the use of reference names as function parameters, return values, content of references and parts of data structures. The programme logic extends our earlier logic for alias-free imperative higher-order functions with new operators which serve as building blocks for clean structural reasoning about programms and data structures in the presence of aliasing. This has been an open issue since the pioneering work by Cartwright–Oppen and Morris twenty-five years ago. We illustrate usage of the logic for description and reasoning through concrete examples including a higher-order polymorphic Quicksort. The logical status of the new operators is clarified by translating them into (in)equalities of reference names.

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27

ZHANG, FAN, HANQIU SUN, LEILEI XU, and KITLUN LEE. "HARDWARE-ACCELERATED PARALLEL-SPLIT SHADOW MAPS." International Journal of Image and Graphics 08, no. 02 (April 2008): 223–41. http://dx.doi.org/10.1142/s0219467808003064.

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Shadow mapping is well known for its generality and efficiency, thus it has been extensively employed for real-time shadow rendering in diverse applications. However, it suffers from inherent aliasing problem due to its image-based nature. In this paper, we present the parallel-split shadow maps scheme which produces high-quality shadows especially in large-scale and complex scenes. Our scheme splits the view frustum into parts using planes parallel to the view plane, and then generates a shadow map for each part. A fast and robust splitting strategy based on the analysis of shadow-map aliasing is proposed, which results in a moderate aliasing distribution over the depth range. Hardware-accelerated processing is developed to eliminate extra rendering passes which surpass that of standard shadow mapping when synthesizing scene-shadows.

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28

Adelson, Ronald M., and Adrian C. Turner. "Spectrum Analysis, Aliasing, and the Perception of Musical Tones." Perception 25, no. 5 (May 1996): 609–17. http://dx.doi.org/10.1068/p250609.

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A signal-processing model is proposed in which the phenomenon of ‘aliasing’ is invoked to explain certain phenomena in the perception of musical tones, for which a really satisfactory explanation has not hitherto been available. It is shown that this model offers a reason why the harmonic series appears to play such a central role in tone and pitch perception, and can throw light on ‘virtual pitch’, ‘harmonic beats’, etc. Some preliminary results from a computer simulation of the model are described which are consistent with empirical data on tone perception.

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29

Kane, Andrew, and Abhyuday Mandal. "A New Analysis Strategy for Designs With Complex Aliasing." American Statistician 74, no. 3 (June 25, 2019): 274–81. http://dx.doi.org/10.1080/00031305.2019.1585287.

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30

Lévesque, L. "Revisiting the Nyquist criterion and aliasing in data analysis." European Journal of Physics 22, no. 2 (February 2, 2001): 127–32. http://dx.doi.org/10.1088/0143-0807/22/2/304.

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31

Sansò, F. "On the aliasing problem in the spherical harmonic analysis." Journal of Geodesy 64, no. 4 (December 1990): 313–30. http://dx.doi.org/10.1007/bf02538406.

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32

Stroele, Albrecht P. "Signature Analysis for Test Responses of Sequential Circuits." VLSI Design 10, no. 2 (January 1, 1999): 127–41. http://dx.doi.org/10.1155/1999/97179.

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Many test schemes use signature analyzers to compact the responses of a circuit under test. Unfortunately, there can be some faulty circuits with erroneous test responses but exactly the same signature as in the fault-free case. Hence, methods are required to determine how many faults become undetectable due to aliasing. Whereas previous work concentrated on combinational circuits, this paper investigates signature analysis for a wide range of sequential circuits, where the errors in successive responses are correlated. It is shown that for almost all faults of these circuits the probability of aliasing in a signature analyzer with k bits asymptotically approaches 2−k or is 0 if a signature analyzer with an irreducible characteristic polynomial is used and certain test lengths are avoided. The limiting value can be used as a good approximation for practical test lengths. These results are particularly useful for advanced built-in self-test techniques with low hardware overhead.

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33

Nautiyal, Atul. "Antialiasing methods for two‐dimensional spatial wavelets in seismic modeling." GEOPHYSICS 53, no. 9 (September 1988): 1202–6. http://dx.doi.org/10.1190/1.1442560.

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Two methods of circumventing spatial aliasing in seismic reflection modeling of zero‐offset data were examined. The first approach used asymptotic approximations of the near‐ and far‐field variants of the space‐frequency domain wave‐field continuation operator. This technique controls spatial aliasing but puts a lower limit on the extrapolation step size and an upper limit on frequencies that can be used in the modeling. The second method used Fourier (wavenumber) analysis of the same operator to identify the aliased components and wavenumber windowing to remove the unwanted portions of the wavenumber spectrum. In contrast to the asymptotic analysis, the Fourier analysis approach was simple and flexible to use and did not restrict other variables.

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34

Terentjev, A. B., and I. V. Shturts. "Two Dimensional Color Doppler Dealiasing Using Submaximal Velocity Components Filtering." INFORMACIONNYE TEHNOLOGII 27, no. 2 (February 12, 2021): 97–101. http://dx.doi.org/10.17587/it.27.97-101.

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Aliasing is one of the most common artifacts in 2D color Doppler echocardiography. Existing methods are approximate and the most precise of them require considerable amount of computations. In the proposed paper, we describe an algorithm that modifies only areas with submaximal velocities — areas most prone to aliasing, leaving other untouched in order to facilitate the process of analysis for the radiologist. Algorithm was tested on 10 in-vivo datasets of large animals and have shown the considerable precision and computation efficiency, which made it real-time compatible.

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35

Sanko, N. S., and M. I. Vashkevich. "Research of application of DFT-modulated filter bank in systems with significant spectral component amplification." Doklady BGUIR 19, no. 6 (October 1, 2021): 14–22. http://dx.doi.org/10.35596/1729-7648-2021-19-6-14-22.

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The purpose of this article is to investigate the application of DFT-modulated filter bank in systems with significant spectral component amplification like hearing aid. There is a description of analysis / synthesis method based on short-time Fourier transform (STFT), which is used in most systems of speech information processing. It is shown that DFT-modulated filter bank is a generalization of STFT-method. In analysis / synthesis system based on DFT-modulated filter bank, the input signal is divided into subbands, passing through the analysis filter bank then each subband is amplified and the last step is to reconstruct the signal with synthesis filter bank. However, in digital systems with significant spectral component amplification, the resulting signal is distorted after reconstruction because of amplification factor difference in each subband. The article provides expressions for the distortion and the aliasing functions, allowing to estimate the distortion value, which appears in analysis / synthesis system of DFT-modulated filter bank. Efficient algorithms for calculating the distortion and the aliasing functions are also offered. In future it is planning to develop a procedure for optimizing the DFT-modulated filter bank based on the proposed efficient algorithms for calculating distortion and spectral aliasing in the filter bank.

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36

Zhan, Xin Wu, and Wu Jiao Dai. "Dam Deformation Analysis Based on Independent Component Analysis." Applied Mechanics and Materials 212-213 (October 2012): 859–62. http://dx.doi.org/10.4028/www.scientific.net/amm.212-213.859.

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Independent component analysis (ICA) is a recent and well-known technique used to separate mixtures of signals. It can separate independent components from mixed signals and has many advantages in blind signal separation, redundancy removal and processing of frequency aliasing problems. Deformation monitoring data can be regarded as the digital signals series which is composed of different frequency. After making test on ICA in processing dam observation data we can draw a conclusion that it is practical and applicative for ICA to evaluate the stability of the dam and reflect the working condition of dam.

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37

Ronen, Joshua. "Wave‐equation trace interpolation." GEOPHYSICS 52, no. 7 (July 1987): 973–84. http://dx.doi.org/10.1190/1.1442366.

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Spatial aliasing in multichannel seismic data can be overcome by solving an inversion in which the model is the section that would be recorded in a well sampled zero‐offset experiment, and the data are seismic data after normal moveout (NMO). The formulation of the (linear) relation between the data and the model is based on the wave equation and on Fourier analysis of aliasing. A processing sequence in which one treats missing data as zero data and performs partial migration before stacking is equivalent to application of the transpose of the operator that actually needs to be inverted. The inverse of that operator cannot be uniquely determined, but it can be estimated using spatial spectral balancing in a conjugate‐gradient iterative scheme. The first iteration is conventional processing (including prestack partial migration). As shown in a field data example in which severe spatial aliasing was simulated, a few more iterations are necessary to achieve significantly better results.

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38

Kim, Donghyeon, Gihoon Byun, and Jeasoo Kim. "Direction-of-Arrival Estimation Based on Frequency Difference–Wavenumber Analysis for Sparse Vertical Array Configuration." Sensors 23, no. 1 (December 28, 2022): 337. http://dx.doi.org/10.3390/s23010337.

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Frequency–wavenumber (f–k) analysis can estimate the direction of arrival (DOA) of broadband signals received on a vertical array. When the vertical array configuration is sparse, it results in an aliasing error due to spatial sampling; thus, several striation patterns can emerge in the f–k domain. This paper extends the f–k analysis to a sparse receiver-array, wherein a multitude of sidelobes prevent resolving the DOA estimates due to spatial aliasing. The frequency difference-wavenumber (Δf–k) analysis is developed by adopting the concept of frequency difference, and demonstrated its performance of DOA estimation to a sparse receiver array. Experimental results verify the robustness of the proposed Δf–k analysis in the estimation of the DOA of cracking sounds generated by the snapping shrimps, which were recorded by a sparse vertical array configuration during the shallow water experiment.

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39

Su, Dongchu, Jian Yang, Chunxing Yuan, Bowei Chang, Siwei Luo, and Chenyong Li. "Simulation Analysis of RBW Parameters of Spectrum Analyzer Based on Convolution Approach." Journal of Physics: Conference Series 2196, no. 1 (February 1, 2022): 012032. http://dx.doi.org/10.1088/1742-6596/2196/1/012032.

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Abstract Resolution Band Width (RBW) represents the 3 dB bandwidth of the internal IF filter of the spectrum analyzer, the setting of which greatly affects the clarity of the output spectrum line of the spectrum analyzer. Its reasonable value is essential to correctly distinguish the signals of different frequencies, especially in the case of aliasing of the output spectrum. Thus, it is of great significance to study the relationship between the setting of RBW and the output spectrum. Due to the expensive spectrum analyzer, the RBW adjustment range, frequency range and output accuracy are limited, so this paper will apply an economic, RBW arbitrary adjustable, high accuracy equivalent convolution method for the simulation of the RBW parameters of the spectrum analyzer, and evaluate the effect of RBW and filter type on the degree of output spectrum aliasing based on a typical equal-amplitude two-tone signal input, and finally give setting suggestions on RBW and filter type.

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40

Wang, Song Jun, Qing Fen Liao, Di Chen Liu, Yu Tian Zhou, Bin Kun Xu, Yi Fei Wang, and Lie Lu. "Identification of Power Quality Disturbances Based on EEMD and TEO." Applied Mechanics and Materials 433-435 (October 2013): 469–76. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.469.

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The empirical mode decomposition (EMD) is a good time-frequency analysis method, which can deal with nonlinear and non-stationary signals. Aiming at improving modal aliasing problem brought by the traditional EMD, white noise is introduced into the improved aided analysis algorithm namely ensemble empirical mode decomposition (EEMD), instantaneous amplitude and frequency can be obtained by using teager energy operator (TEO), which is adopted to identify the type of power quality disturbance. The anti-aliasing of EEMD and real-time detection of TEO are verified by the signal simulation in Matlab. Simulation and experimental results show that the proposed algorithm can detect and locate power quality disturbances accurately and quickly, with excellent detection effects.

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41

Kambe, E., R. Hirata, M. Kato, H. Ando, E. J. Kennelly, G. A. H. Walker, S. Štefl, and A. E. Tarasov. "NRP Modes in a Be Star Zeta Oph." International Astronomical Union Colloquium 155 (1995): 301–2. http://dx.doi.org/10.1017/s0252921100037209.

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AbstractTwo large sinusoidal variations with periods of 3.337 hrs and 2.018 hrs and other smaller variations have been detected from the period analysis of Hel Λ 6678 spectra obtained by our multi-site campaign for ζ Oph in May, 1993. The resultant periodgram is considerably improved (aliasing free) from those in previous publications. The periodicity may be consistent with previous studies except ambiguities of aliasing. It is surprising that almost all detected periods have a common superperiodicity of about 10.05 hrs. We emphasise the importance of multi-site campaign for the study of line-profile variations (lpv) in early-type stars.

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Kazemi, Mahmoud, Zahra Kavehvash, and Mahdi Shabany. "K-Space Analysis of Aliasing in Millimeter-Wave Imaging Systems." IEEE Transactions on Microwave Theory and Techniques 69, no. 3 (March 2021): 1965–73. http://dx.doi.org/10.1109/tmtt.2021.3053238.

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Damiani, M., P. Olivo, M. Favalli, S. Ercolani, and B. Ricco. "Aliasing in signature analysis testing with multiple input shift registers." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 9, no. 12 (1990): 1344–53. http://dx.doi.org/10.1109/43.62779.

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Berger, Martin, Kohei Honda, and Nobuko Yoshida. "A logical analysis of aliasing in imperative higher-order functions." ACM SIGPLAN Notices 40, no. 9 (September 12, 2005): 280–93. http://dx.doi.org/10.1145/1090189.1086401.

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Chen, Zhi-ming, Fei Luo, Yu-ge Xu, and Wei Yu. "Roll eccentricity compensation based on anti-aliasing wavelet analysis method." Journal of Iron and Steel Research International 16, no. 2 (February 2009): 35–39. http://dx.doi.org/10.1016/s1006-706x(09)60024-8.

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Oken, Barry S. "Filtering and aliasing of muscle activity in EEG frequency analysis." Electroencephalography and Clinical Neurophysiology 64, no. 1 (July 1986): 77–80. http://dx.doi.org/10.1016/0013-4694(86)90045-3.

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Saxena, N. R., P. Franco, and E. J. McCluskey. "Simple bounds on serial signature analysis aliasing for random testing." IEEE Transactions on Computers 41, no. 5 (May 1992): 638–45. http://dx.doi.org/10.1109/12.142690.

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Stone, Harold S., Bo Tao, and Morgan McGuire. "Analysis of image registration noise due to rotationally dependent aliasing." Journal of Visual Communication and Image Representation 14, no. 2 (June 2003): 114–35. http://dx.doi.org/10.1016/s1047-3203(03)00002-6.

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Kwon, Ji Yong, Sang Wook Park, Min Kyu Park, and Moon Gi Kang. "Aliasing artifacts reduction with subband signal analysis for demosaicked images." Digital Signal Processing 59 (December 2016): 115–28. http://dx.doi.org/10.1016/j.dsp.2016.08.009.

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Love, J. J., V. C. Tsai, and J. L. Gannon. "Averaging and sampling for magnetic-observatory hourly data." Annales Geophysicae 28, no. 11 (November 12, 2010): 2079–96. http://dx.doi.org/10.5194/angeo-28-2079-2010.

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Abstract:

Abstract. A time and frequency-domain analysis is made of the effects of averaging and sampling methods used for constructing magnetic-observatory hourly data values. Using 1-min data as a proxy for continuous, geomagnetic variation, we construct synthetic hourly values of two standard types: instantaneous "spot" measurements and simple 1-h "boxcar" averages. We compare these average-sample types with others: 2-h average, Gaussian, and "brick-wall" low-frequency-pass. Hourly spot measurements provide a statistically unbiased representation of the amplitude range of geomagnetic-field variation, but as a representation of continuous field variation over time, they are significantly affected by aliasing, especially at high latitudes. The 1-h, 2-h, and Gaussian average-samples are affected by a combination of amplitude distortion and aliasing. Brick-wall values are not affected by either amplitude distortion or aliasing, but constructing them is, in an operational setting, relatively more difficult than it is for other average-sample types. It is noteworthy that 1-h average-samples, the present standard for observatory hourly data, have properties similar to Gaussian average-samples that have been optimized for a minimum residual sum of amplitude distortion and aliasing. For 1-h average-samples from medium and low-latitude observatories, the average of the combination of amplitude distortion and aliasing is less than the 5.0 nT accuracy standard established by Intermagnet for modern 1-min data. For medium and low-latitude observatories, average differences between monthly means constructed from 1-min data and monthly means constructed from any of the hourly average-sample types considered here are less than the 1.0 nT resolution of standard databases. We recommend that observatories and World Data Centers continue the standard practice of reporting simple 1-h-average hourly values.

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