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Relevant bibliographies by topics / Fast Fourier Transform Analysis

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Academic literature on the topic 'Fast Fourier Transform Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Fast Fourier Transform Analysis"

1

Döhler, Michael, Stefan Kunis, and Daniel Potts. "Nonequispaced Hyperbolic Cross Fast Fourier Transform." SIAM Journal on Numerical Analysis 47, no. 6 (January 2010): 4415–28. http://dx.doi.org/10.1137/090754947.

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Adduri, Phani R., and Ravi C. Penmetsa. "Fast Fourier transform based system reliability analysis." International Journal of Reliability and Safety 1, no. 3 (2007): 239. http://dx.doi.org/10.1504/ijrs.2007.014964.

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Dishan, Huang. "Phase error in fast Fourier transform analysis." Mechanical Systems and Signal Processing 9, no. 2 (March 1995): 113–18. http://dx.doi.org/10.1006/mssp.1995.0009.

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Lin, Hsiung-Cheng, and Yu-Chen Ye. "Reviews of bearing vibration measurement using fast Fourier transform and enhanced fast Fourier transform algorithms." Advances in Mechanical Engineering 11, no. 1 (January 2019): 168781401881675. http://dx.doi.org/10.1177/1687814018816751.

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The rolling element bearing is one of the most critical components in a machine. Vibration signals resulting from these bearings imply important bearing defect information related to the machinery faults. Any defect in a bearing may cause a certain vibration with specific frequencies and amplitudes depending on the nature of the defect. Therefore, the vibration analysis plays a key role for fault detection, diagnosis, and prognosis to reach the reliability of the machines. Although fast Fourier transform for time–frequency analysis is still widely used in industry, it cannot extract enough frequencies without enough samples. If the real frequency does not match fast Fourier transform frequency grid exactly, the spectrum is spreading mostly among neighboring frequency bins. To resolve this drawback, the recent proposed enhanced fast Fourier transform algorithm was reported to improve this situation. This article reviews and compares both fast Fourier transform and enhanced fast Fourier transform for vibration signal analysis in both simulation and practical work. The comparative results verify that the enhanced fast Fourier transform can provide a better solution than traditional fast Fourier transform.

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SAKAMOTO, Jun, Yasuhiro MORI, and Takayoshi SEKIOKA. "PROBABILITY ANALYSIS METHOD BY DISCRETE FAST FOURIER TRANSFORM." Journal of Structural and Construction Engineering (Transactions of AIJ) 60, no. 472 (1995): 39–45. http://dx.doi.org/10.3130/aijs.60.39_2.

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TAKEKAWA, Satoru. "Analysis of Colonic Motility by Fast Fourier Transform." Journal of Smooth Muscle Research 32, no. 5 (1996): 203–12. http://dx.doi.org/10.1540/jsmr.32.203.

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Kasper, Peter K. "Structural acoustic analysis using the fast Fourier transform." Journal of the Acoustical Society of America 89, no. 4B (April 1991): 1922–23. http://dx.doi.org/10.1121/1.2029521.

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Fisher, Michal, Valery Bulatov, Salah Hasson, and Israel Schechter. "Fast Aerosol Analysis by Fourier Transform Imaging Fluorescence Microscopy." Analytical Chemistry 70, no. 11 (June 1998): 2409–14. http://dx.doi.org/10.1021/ac971355c.

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Wallace, John L. "Real‐time fast‐Fourier‐transform analysis ofM‐Hhysteresis loops." Journal of Applied Physics 73, no. 10 (May 15, 1993): 6849–51. http://dx.doi.org/10.1063/1.352459.

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Yutai Ma. "An accurate error analysis model for fast Fourier transform." IEEE Transactions on Signal Processing 45, no. 6 (June 1997): 1641–45. http://dx.doi.org/10.1109/78.600005.

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Dissertations / Theses on the topic "Fast Fourier Transform Analysis"

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Breimyer, Paul. "The Fast Fourier Transform in the MPEG encoding algorithm." Diss., Connect to the thesis, 2001. http://hdl.handle.net/10066/1488.

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BURCICA, CRISTINA IRINA. "MAPPING THERMAL GRADIENTS IN SCN USING A FAST FOURIER TRANSFORM ANALYSIS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1053544547.

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Garyfalou, Aikaterini. "Integrated analysis of mass transport deposits : outcrop data, seismic interpretation & fast Fourier transform analysis." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227755.

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Milar, Kendall. "Fast Fourier transform analysis of oboes, oboe reeds and oboists : what matters most to timbre." South Hadley, Mass. : [s.n.], 2008. http://ada.mtholyoke.edu/setr/websrc/pdfs/www/2008/257.pdf.

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Li, Hui 1970. "Analysis of edible oils by Fourier transform near-infrared spectroscopy." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36819.

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Fourier transform near-infrared (FT-NIR) spectroscopy was investigated as a means of quantitative analysis of edible fats and oils. Initially, a method of simultaneously determining the cis and trans content, iodine value and saponification number of neat fats and oils using a heated transmission flow cell was developed. Two partial least squares (PLS) calibrations were devised, a process-specific calibration based on hydrogenated soybean oil and a more generalized calibration based on many oil types, the latter able to analyze oils from a variety of sources accurately and reproducibly. Methodology for the quantitative determination of the peroxide value (PV) of edible oils using a novel glass-vial sample handling system was subsequently developed, based on the stoichiometric reaction of triphenylphosphine with hydroperoxides to form triphenylphosphine oxide. The PV calibration was derived using PLS regression, and the results of a validation study demonstrated that PV could be quantitated accurately if a normalization routine was used to compensate for the inherent dimensional variability of the vials. The vial sample handling system was then used in the development of PLS IV calibrations for the process analysis of commercial oil samples, and these samples were also used to evaluate a global IV calibration devised by Bomem Inc. The discriminant features available through PLS were shown to enhance the accuracy of the IV predictions by facilitating the selection of the most appropriate calibrations based on the spectral characteristics of closely related oils. The predictions obtained using the global IV calibration provided clear evidence that a generalized calibration based on a large and varied selection of oils could provide a means of IV determination by FT-NIR spectroscopy. Subsequently, a generalized FT-NIR trans calibration was developed and shown to yield trans values that were in good agreement with those obtained by the AOCS mid-FTIR single-bounce hori

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Rosenthal, Glenn, and Thomas Salley. "USING THE FFT FOR DSP SPECTRUM ANALYSIS: A TELEMETRY ENGINEERING APPROACH." International Foundation for Telemetering, 1990. http://hdl.handle.net/10150/613797.

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International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada
The Fast Fourier Transform (FFT) converts digitally sampled time domain data into the frequency domain. This paper will provide an advanced introduction for the telemetry engineer to basic FFT theory and then present and explain the different user preprocessing options that are available when using the FFT. These options include: using windowing functions, “zero filling” for frequency data interpolation, and setting the frequency resolution of the FFT resultant spectrum,

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Memon, Khalida Perveen. "Solid fat index determination by Fourier transform (FTIR) spectroscopy." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=24028.

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This work describes an investigation of the development of a Fourier Transform Infrared (FTIR) spectroscopic method for the determination of Solid Fat Index (SFI) of fats as a possible replacement of the traditional dilatometric procedure. The initial approach considered was the use of an existing FTIR analytical package which was designed to measure iodine value (IV), saponification number (SN), and cis and trans content. It was hypothesized that these measures could be related to SFI using multiple linear regression (MLR), thereby allowing the existing analytical package to simultaneously make SFI measures. It was found that there was a strong relationship between SN/cis/trans measurements and SFI, especially in sequentially hydrogenated oils. The MLR relationships, however, did not reproduce the dilatometric SFI values with sufficient accuracy in the general case, and this approach had to be abandoned. Subsequently, a partial least squares (PLS) calibration approach was investigated, relating the dilatometric SFI data directly to the spectral characteristics of the melted fats. It was found that suitable PLS calibrations could be developed for soybean and Canola oils. Based on these results, an FTIR system was programmed to determine SFI and the performance of the system validated using pre-analyzed "unknowns". It was shown that the SFI of either soybean or Canola oils could be determined to within $ pm$ 1.0 SFI. As configured, the FTIR system is capable of determining the SFI of a neat and clear, melted fat sample at 80$ sp circ$C in less than two minutes, providing four SFI values, representing the solids content at 50, 70, 80 and 92$ sp circ$F. In contrast to the standard dilatometric method, which takes over two hours to carry out, the FTIR approach provides a rapid means of determining SFI, the technique being suitable for routine quality control applications in the fats and oils industry.

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Pippig, Michael. "Massively Parallel, Fast Fourier Transforms and Particle-Mesh Methods." Doctoral thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-197359.

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The present thesis provides a modularized view on the structure of fast numerical methods for computing Coulomb interactions between charged particles in three-dimensional space. Thereby, the common structure is given in terms of three self-contained algorithmic frameworks that are built on top of each other, namely fast Fourier transform (FFT), nonequispaced fast Fourier transform (NFFT) and NFFT based particle-mesh methods (P²NFFT). For each of these frameworks algorithmic enhancement and parallel implementations are presented with special emphasis on scalability up to hundreds of thousands of parallel processes. In the context of FFT massively parallel algorithms are composed from hardware adaptive low level modules provided by the FFTW software library. The new algorithmic NFFT concepts include pruned NFFT, interlacing, analytic differentiation, and optimized deconvolution in Fourier space with respect to a mean square aliasing error. Enabled by these generalized concepts it is shown that NFFT provides a unified access to particle-mesh methods. Especially, mixed-periodic boundary conditions are handled in a consistent way and interlacing can be incorporated more efficiently. Heuristic approaches for parameter tuning are presented on the basis of thorough error estimates
Die vorliegende Dissertation beschreibt einen modularisierten Blick auf die Struktur schneller numerischer Methoden für die Berechnung der Coulomb-Wechselwirkungen zwischen Ladungen im dreidimensionalen Raum. Die gemeinsame Struktur ist geprägt durch drei selbstständige und auf einander aufbauenden Algorithmen, nämlich der schnellen Fourier-Transformation (FFT), der nicht äquidistanten schnellen Fourier-Transformation (NFFT) und der NFFT-basierten Teilchen-Gitter-Methode (P²NFFT). Für jeden dieser Algorithmen werden Verbesserungen und parallele Implementierungen vorgestellt mit besonderem Augenmerk auf massiv paralleler Skalierbarkeit. Im Kontext der FFT werden parallele Algorithmen aus den Hardware adaptiven Modulen der FFTW Softwarebibliothek zusammengesetzt. Die neuen NFFT-Konzepte beinhalten abgeschnittene NFFT, Versatz, analytische Differentiation und optimierte Entfaltung im Fourier-Raum bezüglich des mittleren quadratischen Aliasfehlers. Mit Hilfe dieser Verallgemeinerungen bietet die NFFT einen vereinheitlichten Zugang zu Teilchen-Gitter-Methoden. Insbesondere gemischt periodische Randbedingungen werden einheitlich behandelt und Versatz wird effizienter umgesetzt. Heuristiken für die Parameterwahl werden auf Basis sorgfältiger Fehlerabschätzungen angegeben

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Heiskanen, Andreas, and Erik Johansson. "Analysing Memory Performance when computing DFTs using FFTW." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230225.

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Discrete Fourier Transforms (DFTs) are used in a wide variety of dif-ferent scientific areas. In addition, there is an ever increasing demand on fast and effective ways of computing DFT problems with large data sets. The FFTW library is one of the most common used libraries when computing DFTs. It adapts to the system architecture and predicts the most effective way of solving the input problem. Previous studies have proved the FFTW library to be superior to other DFT solving libraries. However, not many have specifically examined the cache memory performance, which is a key factor for overall performance. In this study, we examined the cache memory utilization when computing 1-D complex DFTs using the FFTW library. Testing was done using bench FFT, Linux Perf and testing scripts. The results from this study show that cache miss ratio increases with problem size when the input size is smaller than the theoretical input size matching the cache capacity. This is also verified by the results from the L2 prefetcher miss ratio. However, the study show that cache miss ratio stabilizes when exceeding the cache capacity. In conclusion, it is possible to use bench FFT and Linux Perf to measure cache memory utilization. Also, the analysis shows that cache memory performance is good when computing 1-D complex DFTS using the FFTW library, since the miss ratios stabilizes at low values. However, we suggest further examination ofthe memory behaviour for DFT computations using FFTW with larger input sizes and a more in-depth testing method.
Diskret Fouriertransform (DFT) används inom många olika vetenskapliga områden. Det finns en ökande efterfrågan på snabba och effektiva sätt att beräkna DFT-problem med stora mängder data. FFTW-biblioteket är ett av de mest använda biblioteken vid beräkning av DFT-problem. FFTW-biblioteket anpassar sig till systemarkitekturen och försöker generera det mest effektiva sättet att lösa ett givet DFT-problem. Tidigare studier har visat att FFTW-biblioteket är effektivare än andra bibliotek som kan användas för att lösa DFT-problem. Däremot har studierna inte fokuserat på minneshanteringen, vilket är en nyckelfaktor för den generella prestandan. I den här studien undersökte vi FFTW-bibliotekets cache-minneshanteringen vid beräkning av 1-D komplexa DFT-problem. Tester utfördes med hjälp av bench FFT, Linux Perf och testskript. Resultaten från denna studie visar att cache-missförhållandet ökar med problemstorleken när problemstorleken ärmindre än den teoretiska problemstorleken som matchar cachekapaciteten. Detta bekräftas av resultat från L2-prefetcher-missförhållandet. Studien visar samtidigt att cache-missförhållandet stabiliseras när problemstorleken överskrider cachekapaciteten. Sammanfattningsvis går det att argumentera för att det är möjligt att använda bench FFT och Linux Perf för att mäta cache-minneshanteringen. Analysen visar också att cache-minneshanteringen är bra vid beräkning av 1-D komplexa DFTs med hjälp av FFTW-biblioteket eftersom missförhållandena stabiliseras vid låga värden. Vi föreslår dock ytterligare undersökning av minnesbeteendet för DFT-beräkningar med hjälp av FFTW där problemstorlekarna är större och en mer genomgående testmetod används.

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Dong, Jun 1971. "Development of Fourier transform infrared (FTIR) spectroscopy for determining oil quality." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27308.

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In this work, a rapid Fourier transform near infrared (FT-NIR) spectroscopic peroxide value (PV) method was developed and a prototype Continuous Oil Analysis and Treatment (COAT) system was assessed for monitoring and analytical purposes. High erucic acid rapeseed oil, a principle representative of triglyceride based oils suitable for biodegradable lubricating applications and mineral oil were used to test the methodology developed.
The FT-NIR PV method is based on a well defined stoichiometric reaction of triphenylphospine (TPP) with hydroperoxides to form triphenylphospine oxide (TPPO). A partial least squares calibration model for the prediction of PV was developed using the NIR spectral region where TPP and TPPO co-absorb. The resulting calibration was highly linear over the analytical range of 100PV. Validation of the method carried out by comparing the PV of PLS prediction to the results of AOCS iodometric procedures indicated an excellent concurrence between the two methods. By programming the FT-NIR spectrometer, the analytical procedure simply consists of the addition of TPP stock solution to oil sample, mixing, taking its spectrum and predicting PV value. Through selected testing procedures, the prototype COAT system utilizing FTIR spectroscopy, advanced sample handling system designs, and computer programming was proved to be effective in monitoring the oil quality and behavior of antioxidants in real time.
Both approaches offer combined advantages of speed, accuracy, low labor cost, automation, and environmental friendliness mainly derived from FTIR spectroscopy, and can serve as convenient means for routine quality control applications in oils and fats industry. Potential application based on the joint usage of the two methods in the obtaining of true value of oil stability was also presented in this text. (Abstract shortened by UMI.)

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Books on the topic "Fast Fourier Transform Analysis"

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Rao, K. R. Fast Fourier Transform: Algorithms and Applications. Dordrecht: Springer Science+Business Media B.V., 2010.

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Chu, Eleanor Chin-hwa. Discrete and continuous fourier transforms: Analysis, applications and fast algorithms. Boca Raton, Fla: CRC Press, 2008.

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Chu, Eleanor Chin-hwa. Discrete and continuous fourier transforms: Analysis, applications and fast algorithms. Boca Raton, Fla: CRC Press, 2008.

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F, Doyle James. Wave propagation in structures: Spectral analysis using fast discrete Fourier transforms. 2nd ed. New York: Springer, 1997.

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F, Doyle James. Wave Propagation in Structures: Spectral Analysis Using Fast Discrete Fourier Transforms. New York, NY: Springer New York, 1997.

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McQuillan, Dermott M. Fast Fourier transform analysis of signal-averaged electrocardiograms for identification of patients proneto sustained ventricular tachycardia. [S.l: The author], 1985.

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Sorensen, Henrik V. Fast Fourier transform database. Boston, MA: PWS Pub., 1995.

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Sorensen, Henrik V. Fast fourier transform database. Boston: PWS Publishing, 1995.

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Pollock, D. S. G. A mixed-radix fast Fourier transform and a Base-2 fast Fourier transform. London: QueenMary and Westfield College, Department of Economics, 1989.

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Rao, K. R., D. N. Kim, and J. J. Hwang. Fast Fourier Transform - Algorithms and Applications. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-1-4020-6629-0.

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Book chapters on the topic "Fast Fourier Transform Analysis"

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Wong, M. W. "The Fast Fourier Transform." In Discrete Fourier Analysis, 41–43. Basel: Springer Basel, 2011. http://dx.doi.org/10.1007/978-3-0348-0116-4_7.

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Gomes, Jonas, and Luiz Velho. "The Fast Wavelet Transform." In From Fourier Analysis to Wavelets, 89–100. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22075-8_7.

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Bi, Guoan, and Yonghong Zeng. "Fast Fourier Transform Algorithms." In Transforms and Fast Algorithms for Signal Analysis and Representations, 47–92. Boston, MA: Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8220-0_3.

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Plonka, Gerlind, Daniel Potts, Gabriele Steidl, and Manfred Tasche. "Fast Fourier Transforms." In Numerical Fourier Analysis, 231–303. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04306-3_5.

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Kozen, Dexter C. "The Fast Fourier Transform (FFT)." In The Design and Analysis of Algorithms, 186–90. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-4400-4_35.

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Yarlagadda, R. K. Rao, and John E. Hershey. "The Fast Fourier Transform and the Hadamard Transform." In Hadamard Matrix Analysis and Synthesis, 27–31. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6313-6_9.

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Tiedemann, Anne, Catherine Sherrington, Daina L. Sturnieks, Stephen R. Lord, Mark W. Rogers, Marie-Laure Mille, Paavo V. Komi, et al. "Fast Fourier Transform (FFT) Analyses." In Encyclopedia of Exercise Medicine in Health and Disease, 337. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_2393.

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Plonka, Gerlind, Daniel Potts, Gabriele Steidl, and Manfred Tasche. "Fast Fourier Transforms for Nonequispaced Data." In Numerical Fourier Analysis, 377–419. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04306-3_7.

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Hotchkiss, Calvin, and Eric S. Weber. "A Fast Fourier Transform for Fractal Approximations." In Excursions in Harmonic Analysis, Volume 5, 315–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54711-4_13.

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Felsberg, Michael, and Gerald Sommer. "Optimized Fast Algorithms for the Quaternionic Fourier Transform." In Computer Analysis of Images and Patterns, 209–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48375-6_26.

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Conference papers on the topic "Fast Fourier Transform Analysis"

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Liang, Xin, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, and Zizhong Chen. "Correcting soft errors online in fast fourier transform." In SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3126908.3126915.

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Sridevi, T., K. R. Reddy, and N. L. J. Syamala. "Harmonic analysis of inrush current using fast fourier transform." In 2013 International Conference on Power, Energy and Control (ICPEC). IEEE, 2013. http://dx.doi.org/10.1109/icpec.2013.6527712.

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Hidayat, Arif, Sutan Takdir Ali Munawar, Syafruddin Syarif, and Andani Achmad. "LEO antenna ground station analysis using fast fourier transform." In 2017 7th International Annual Engineering Seminar (InAES). IEEE, 2017. http://dx.doi.org/10.1109/inaes.2017.8068548.

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Mohd Sani, N. H., W. Mansor, Khuan Y. Lee, N. Ahmad Zainudin, and S. A. Mahrim. "Determination of heart rate from photoplethysmogram using Fast Fourier Transform." In 2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS). IEEE, 2015. http://dx.doi.org/10.1109/icbaps.2015.7292239.

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Huang, Ping, and Bing-Fa Zu. "Performance Analysis of PN Code Acquisition Using Fast Fourier Transform." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5302009.

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Ben Dkhil, Mejdi, Ali Wali, and Adel M. Alimi. "Drowsy driver detection by EEG analysis using Fast Fourier Transform." In 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2015. http://dx.doi.org/10.1109/isda.2015.7489245.

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Dong, Lifang, Hong Xiao, Haitao Zhao, Han Yue, and Yafeng He. "Analysis of Competition between Patterns by Using Fast Fourier Transform." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5303797.

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Devadasu, G., and M. Sushama. "A novel multiple fault identification with fast fourier transform analysis." In 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS). IEEE, 2016. http://dx.doi.org/10.1109/icetets.2016.7603081.

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Guralnick, Sidney A., Eric S. Suen, and G. Jin. "Fast Fourier transform method for shadow moire fringe pattern analysis." In Optical Engineering Midwest 1992, edited by Robert J. Heaston. SPIE, 1992. http://dx.doi.org/10.1117/12.130970.

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Rundblad, Ekaterina, Valeriy G. Labunets, and Peter Novak. "Quantum multiresolution analysis via fast Fourier transform on Heisenberg group." In Defense and Security, edited by Belur V. Dasarathy. SPIE, 2005. http://dx.doi.org/10.1117/12.603731.

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Reports on the topic "Fast Fourier Transform Analysis"

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Steinbach, Arden L., and Cynthia H. Warner. A Modified Fast Fourier Transform. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada220567.

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Nagy, D. Fast Fourier transform and applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/315252.

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McCallen, R. Power spectrum calculations using the fast Fourier transform. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/188886.

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Kent, S. D., C. T. Snyder, and S. E. Carpenter. Analysis of polymer plastics by Fourier transform infrared microscopy. Office of Scientific and Technical Information (OSTI), March 1996. http://dx.doi.org/10.2172/218994.

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Smith, W. L. ARM Fourier transform spectrometer data analysis tools. Progress report. Test accounts, September 1993. http://dx.doi.org/10.2172/10184674.

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Sweet, R., and J. Wilson. Development of out-of-core fast Fourier transform software for the connection machine. Final report. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/113993.

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Anderson, Timothy J. Mass Spectrometry and Fourier Transform Infrared Spectroscopy for Analysis of Biological Materials. Office of Scientific and Technical Information (OSTI), December 2014. http://dx.doi.org/10.2172/1226565.

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Ritchie, A. B., and M. E. Riley. An implicit fast Fourier transform method for integration of the time dependent Schrodinger or diffusion equation. Office of Scientific and Technical Information (OSTI), June 1997. http://dx.doi.org/10.2172/491602.

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Patterson, P. E. The Complete Fast Fourier Transform and Cascaded Transition-Band Filters to Reduce the Noise of Deconvolution. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/776348.

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Sengupta, S. K., G. A. Clark, and D. J. Fields. Analysis of hyper-spectral data derived from an imaging Fourier transform: A statistical perspective. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/226081.

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