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Готові списки джерел за темами / Aliasing Analysi

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Добірка наукової літератури з теми "Aliasing Analysi"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Aliasing Analysi"

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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Дисертації з теми "Aliasing Analysi"

1

Alsop, Stephen A. "Defeating signal analysis aliasing problems." Thesis, University of Strathclyde, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248868.

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2

Dahl, Jason F. "Time Aliasing Methods of Spectrum Estimation." Diss., CLICK HERE for online access, 2003. http://contentdm.lib.byu.edu/ETD/image/etd157.pdf.

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3

Barus, Jasa. "An analysis of aliasing in built-in self test procedure." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/27945.

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4

Xavier, Dhirendran P. "An experimental analysis of aliasing in BIST under different error models /." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=55651.

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5

Ivanov, André. "BIST signature analysis : analytical techniques for computing the probability of aliasing." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75923.

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Testing VLSI circuits is a complex task that requires enormous amounts of resources. To decrease testing costs, testing issues are considered earlier in the design process. This is known as "design for testability" (DFT). Built-in Self Test (BIST) is one proposed DFT approach. BIST generally consists of incorporating additional circuitry on the chip to generate test patterns and compact the response of the circuit under test (CUT) into a reference signature. Compaction implies an information loss, introducing the possibility that a faulty circuit declares itself as good. Such errors are known as aliasing errors. Several BIST schemes have been proposed, and each have a particular performance in regard to aliasing. However, the schemes are often evaluated and compared with ill-defined measures for which the underlying assumptions are either not stated or understood clearly. Here, a novel classification for the measures of aliasing is proposed. By providing clear definitions of different possible measures, the proposed classification augments the understanding of the aliasing problem.
This dissertation focuses on the popular BIST scheme that consists of applying pseudorandom test patterns to a CUT and compacting the latter's response by a signature analysis register (LFSR). Assessing the quality of such a scheme in regard to fault coverage is crucial. Fault coverage can be established by full fault simulation. However, high costs may preclude this approach. Other techniques, probabilistic in nature, have been proposed, but a lack of computationally feasible techniques for analyzing the aliasing problem under a reasonable model has left them elusive. Here, new and computationally feasible techniques are developed. More specifically, closed-form expressions for the probability of aliasing are derived for a certain type of LFSRs. Upper bounds are derived for LFSRs characterized by primitive polynomials. An iterative technique is developed for computing the exact probability of aliasing for LFSRs characterized by any feedback polynomial, and for any test sequence length. These new techniques enable better assessments of the quality of BIST schemes that use signature analysis for response compaction. In turn, they are useful for making important design decisions, e.g., determining the number of test patterns that should be applied to a CUT to achieve a certain test confidence; alternatively, deciding how long the signature analyzer should be, and what type of feedback it should possess to achieve a certain desired test confidence.
The techniques developed for computing the probability of aliasing in BIST are also useful in the context of coding theory. The iterative technique developed for computing the probability of aliasing may be used as an efficient technique for computing the probability of an undetected error for shortened versions of cyclic codes.

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6

Namroud, Iman. "An Analysis of Aliasing and Image Restoration Performance for Digital Imaging Systems." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1399046084.

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7

Khedekar, Neha N. "Exploratory Study of the Impact of Value and Reference Semantics on Programming." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/34871.

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In this thesis, we measure the impact of reference semantics on programming and reasoning. We designed a survey to compare how well programmers perform under three different programming paradigms. Two of the paradigms, object-copying and swapping use value semantics, while the third, reference-copying, uses reference semantics. We gave the survey to over 25 people. We recorded number of questions answered correctly in each paradigm and the amount of time it took to answer each question. We looked at the overall results as well as the results within various levels of Java experience. Based on anecdotal evidence from the literature, we expected questions based on value semantics to be easier than questions based on reference semantics. The results did not yield differences that were statistically significant, but they did conform to our general expectations. While further investigation is clearly needed, we believe that this work represents an important first step in the empirical analysis of a topic that has previously only been discussed informally.
Master of Science

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8

Hicks, William T. "An Analysis of Various Digital Filter Types for Use as Matched Pre-Sample Filters in Data Encoders." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/611585.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada
The need for precise gain and phase matching in multi-channel data sampling systems can result in very strict design requirements for presample or anti-aliasing filters. The traditional use of active RC-type filters is expensive, especially when performance requirements are tight and when operation over a wide environmental temperature range is required. New Digital Signal Processing (DSP) techniques have provided an opportunity for cost reduction and/or performance improvements in these types of applications. This paper summarizes the results of an evaluation of various digital filter types used as matched presample filters in data sampling systems.

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9

Ranganath, Venkatesh Prasad. "Scalable and accurate approaches for program dependence analysis, slicing, and verification of concurrent object oriented programs." Diss., Manhattan, Kan. : Kansas State University, 2006. http://hdl.handle.net/2097/248.

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10

Noury, Nicolas. "Mise en correspondance A Contrario de points d'intérêt sous contraintes géométrique et photométrique." Phd thesis, Université Henri Poincaré - Nancy I, 2011. http://tel.archives-ouvertes.fr/tel-00640168.

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Анотація:

L'analyse de la structure et du mouvement permet d'estimer la forme d'objets 3D et la position de la caméra à partir de photos ou de vidéos. Le plus souvent, elle est réalisée au moyen des étapes suivantes : 1) L'extraction de points d'intérêt, 2) La mise en correspondance des points d'intérêt entre les images à l'aide de descripteurs photométriques des voisinages de point, 3) Le filtrage des appariements produits à l'étape précédente afin de ne conserver que ceux compatibles avec une contrainte géométrique fixée, dont on peut alors calculer les paramètres. Cependant, la ressemblance photométrique seule utilisée en deuxième étape ne suffit pas quand plusieurs points ont la même apparence. Ensuite, la dernière étape est effectuée par un algorithme de filtrage robuste, Ransac, qui nécessite de fixer des seuils, ce qui se révèle être une opération délicate. Le point de départ de ce travail est l'approche A Contrario Ransac de Moisan et Stival, qui permet de s'abstraire des seuils. Ensuite, notre première contribution a consisté en l'élaboration d'un modèle a contrario qui réalise la mise en correspondance à l'aide de critères photométrique et géométrique, ainsi que le filtrage robuste en une seule étape. Cette méthode permet de mettre en correspondance des scènes contenant des motifs répétés, ce qui n'est pas possible par l'approche habituelle. Notre seconde contribution étend ce résultat aux forts changements de point de vue, en améliorant la méthode ASift de Morel et Yu. Elle permet d'obtenir des correspondances plus nombreuses et plus densément réparties, dans des scènes difficiles contenant des motifs répétés observés sous des angles très différents.

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Книги з теми "Aliasing Analysi"

1

Clarke, Dave, James Noble, and Tobias Wrigstad, eds. Aliasing in Object-Oriented Programming. Types, Analysis and Verification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36946-9.

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2

Clarke, Dave. Aliasing in Object-Oriented Programming. Types, Analysis and Verification. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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3

Barus, Jasa. An analysis of aliasing in built-in self test procedure. Monterey, Calif: Naval Postgraduate School, 1991.

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Частини книг з теми "Aliasing Analysi"

1

Bozga, Marius, Radu Iosif, and Yassine Lakhnech. "On Logics of Aliasing." In Static Analysis, 344–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27864-1_25.

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2

Sundararajan, D. "Aliasing and Leakage." In Fourier Analysis—A Signal Processing Approach, 159–78. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1693-7_6.

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3

Pistone, G., E. Riccomagno, and H. P. Wynn. "Understanding Aliasing Using Gröbner Bases." In mODa 6 — Advances in Model-Oriented Design and Analysis, 211–16. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57576-1_23.

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4

Li, Hua, Yuling Cao, and Xin Feng. "Analysis of Hard Shadow Anti-aliasing." In Advances in Computer Science and Ubiquitous Computing, 421–29. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_66.

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5

Nikolić, Đurica, and Fausto Spoto. "Definite Expression Aliasing Analysis for Java Bytecode." In Theoretical Aspects of Computing – ICTAC 2012, 74–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32943-2_6.

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6

Stiller, Christoph. "The impact of aliasing and quantization on motion compensation." In Image Analysis and Processing, 209–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60298-4_260.

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7

Teixeira, João F., and Hélder P. Oliveira. "Spacial Aliasing Artefact Detection on T1-Weighted MRI Images." In Pattern Recognition and Image Analysis, 462–70. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58838-4_51.

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8

Jekeli, Christopher. "Methods to Reduce Aliasing in Spherical Harmonic Analysis." In International Association of Geodesy Symposia, 121–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61140-7_12.

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9

Volpe, Paolo. "A First-Order Language for Expressing Aliasing and Type Properties of Logic Programs." In Static Analysis, 184–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49727-7_11.

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10

Douglas, Scott C. "Detection of Aliasing in Image Sequences Using Nonlinear Factor Analysis." In Latent Variable Analysis and Signal Separation, 486–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28551-6_60.

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Тези доповідей конференцій з теми "Aliasing Analysi"

1

Fernandez, Joseph A., and B. V. K. Vijaya Kumar. "Zero-aliasing correlation filters." In 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2013. http://dx.doi.org/10.1109/ispa.2013.6703722.

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2

Heintze, Nevin, and Olivier Tardieu. "Ultra-fast aliasing analysis using CLA." In the ACM SIGPLAN 2001 conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/378795.378855.

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3

Zhang, Sean, Barbara G. Ryder, and William A. Landi. "Experiments with combined analysis for pointer aliasing." In the 1998 ACM SIGPLAN-SIGSOFT workshop. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/277631.277635.

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4

Calosso, Claudio Eligio, Cecilia Clivati, and Salvatore Micalizio. "Avoiding aliasing in fiber link data analysis." In 2016 European Frequency and Time Forum (EFTF). IEEE, 2016. http://dx.doi.org/10.1109/eftf.2016.7477815.

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5

Tse, Peter W., and Ling S. He. "Can Wavelet Transforms Used for Data Compression Equally Suitable for the Use of Machine Fault Diagnosis?" In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21647.

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Abstract Wavelet transforms are capable of separating the raw vibro-acoustic signals into different frequency and time bands. They have exhibited potentials in the detection of fault related impulsive signals by using their multi-resolution time-frequency analyses. To ensure the design of wavelet transforms is simple and the processing is not time intensive, discrete type of wavelet transforms (DWTs) become popular as they are composed of low-pass and high-pass digital filters only, making them easier to implement and processing faster. Recently, a number of publications have applied the similar type of DWTs commonly used for data compression (dyadic type of DWTs) in vibration based machine fault diagnosis. However, the results are not satisfactory. The main reasons are the poor resolution provided by DWTs and the inappropriate design of digital filters causing undesirable frequency aliasings. Without taking care of these problems, they may lead to false alarms in fault diagnosis. In this paper, we present a new family of DWTs, which mainly consists of a series of Butterworth filter banks. They are capable of providing sufficient resolutions in different time and frequency ranges, and minimizing the effect of frequency aliasing. The results have shown that the new types of DWTs are promising in solving the problems and tailor-made for machine fault diagnosis. With the help of the new DWTs, the faults that exhibit non-linear and non-stationary signals can be detected easier and the diagnosis becomes more reliable.

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6

Vercoutter, A., J. Lardies, M. Berthillier, A. Talon, and B. Burgardt. "Improvement of Compressor Blade Vibrations Spectral Analysis From Tip Timing Data: Aliasing Reduction." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-96016.

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Tip-timing is a technique for measuring rotating blades vibrations in operation. Its concept exists since the early 70s but it has been more experimented in the last decade through improvements in hardware and software capabilities. It consists of a set of sensors mounted on stator casings that record blade passing times. Then, from this measurement, blade vibrations can be estimated. Tip-timing technique presents several advantages compared to usual mean of measurement: strain gages. Indeed, installation is easier, it is non-intrusive and all the blades can be monitored. However, resulting sampling depends on physical configuration i.e. number of sensors. In practice, as the number of sensors is limited, sampling rate is low in relation to the physical observed frequencies and do not respect the Shannon criterion. Thus, it generates important aliasing effects in spectrum, which makes the analysis difficult. In fact, such measurements aim to lead to pseudo-blind analysis, especially for asynchronous vibrations, when there is no hypothesis of underneath structural model. This main problem of aliasing is partially softened by using a minimum variance spectral estimator that iteratively reduces non-physical content in spectrum, but pseudo-blind analysis remains complicated. This paper presents a comparison of several methods based on different multisampling averaging concepts for reducing aliasing. Multisampling averaging consists in averaging spectrums from different sampling patterns of the same original signal, so that only stable physical content remains in the final spectrum. This study is presented on different industrial test cases of blade vibrations.

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7

Landi, William, Barbara G. Ryder, and Sean Zhang. "Interprocedural modification side effect analysis with pointer aliasing." In the ACM SIGPLAN 1993 conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/155090.155096.

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Heintze, Nevin. "Aliasing analysis for a million lines of C." In the ASIAN symposium. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/568173.568178.

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Khan, O. I., and M. L. Bushnell. "Aliasing analysis of spectral statistical response compaction techniques." In 19th International Conference on VLSI Design held jointly with 5th International Conference on Embedded Systems Design (VLSID'06). IEEE, 2006. http://dx.doi.org/10.1109/vlsid.2006.33.

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10

He, Yan, Liu Jie, and Wang Pu. "Shift-invariant Non-aliasing Multiscale Geometric Analysis Filter Banks." In International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2632856.2632919.

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