Academic literature on the topic 'Short-time Fourier transform'
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Journal articles on the topic "Short-time Fourier transform"
Nuruzzaman, A., O. Boyraz, and B. Jalali. "Time-Stretched Short-Time Fourier Transform." IEEE Transactions on Instrumentation and Measurement 55, no. 2 (April 2006): 598–602. http://dx.doi.org/10.1109/tim.2006.864246.
Full textBao, Zheng. "Modified short-time Fourier transform." Optical Engineering 34, no. 5 (May 1, 1995): 1333. http://dx.doi.org/10.1117/12.201623.
Full textOwens, F. J., and M. S. Murphy. "A short-time Fourier transform." Signal Processing 14, no. 1 (January 1988): 3–10. http://dx.doi.org/10.1016/0165-1684(88)90040-0.
Full textGiv, Hossein Hosseini. "Directional short-time Fourier transform." Journal of Mathematical Analysis and Applications 399, no. 1 (March 2013): 100–107. http://dx.doi.org/10.1016/j.jmaa.2012.09.053.
Full textShah, Firdous A., Waseem Z. Lone, and Azhar Y. Tantary. "Short-time quadratic-phase Fourier transform." Optik 245 (November 2021): 167689. http://dx.doi.org/10.1016/j.ijleo.2021.167689.
Full textGarrido, Mario. "The Feedforward Short-Time Fourier Transform." IEEE Transactions on Circuits and Systems II: Express Briefs 63, no. 9 (September 2016): 868–72. http://dx.doi.org/10.1109/tcsii.2016.2534838.
Full textWen-kai Lu and Qiang Zhang. "Deconvolutive Short-Time Fourier Transform Spectrogram." IEEE Signal Processing Letters 16, no. 7 (July 2009): 576–79. http://dx.doi.org/10.1109/lsp.2009.2020887.
Full textLabao, Alfonso B., Rodolfo C. Camaclang, and Jaime D. L. Caro. "Staggered parallel short-time Fourier transform." Digital Signal Processing 93 (October 2019): 70–86. http://dx.doi.org/10.1016/j.dsp.2019.07.003.
Full textYu, F. T. S., and Guowen Lu. "Short-time Fourier transform and wavelet transform with Fourier-domain processing." Applied Optics 33, no. 23 (August 10, 1994): 5262. http://dx.doi.org/10.1364/ao.33.005262.
Full textSundararajan, Narasimman, A. Ebrahimi, and Nannappa Vasudha. "Two Dimensional Short Time Hartley Transforms." Sultan Qaboos University Journal for Science [SQUJS] 21, no. 1 (November 1, 2016): 41. http://dx.doi.org/10.24200/squjs.vol21iss1pp41-47.
Full textDissertations / Theses on the topic "Short-time Fourier transform"
Okamura, Shuhei. "The Short Time Fourier Transform and Local Signals." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/58.
Full textHon, Tsz Kin. "Time-frequency analysis and filtering based on the short-time Fourier transform." Thesis, King's College London (University of London), 2013. https://kclpure.kcl.ac.uk/portal/en/theses/timefrequency-analysis-and-filtering-based-on-the-shorttime-fourier-transform(de8bcca8-cd9d-42a3-bf79-281672478744).html.
Full textSun, Pu. "Comparison of STFT and Wavelet Transform inTime-frequency Analysis." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-19072.
Full textFredriksson, Henrik. "On the Short-Time Fourier Transform and Gabor Frames generated by B-splines." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-20262.
Full textMacIsaac, Dawn. "Using the short-time Fourier transform to assess localized fatigue in dynamic muscle contractions." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0007/MQ46265.pdf.
Full textSchippa, Robert [Verfasser]. "Short-time Fourier transform restriction phenomena and applications to nonlinear dispersive equations / Robert Schippa." Bielefeld : Universitätsbibliothek Bielefeld, 2019. http://d-nb.info/1200097637/34.
Full textE, Okwelume Gozie, and Ezeude Anayo Kingsley. "BLIND SOURCE SEPARATION USING FREQUENCY DOMAIN INDEPENDENT COMPONENT ANALYSIS." Thesis, Blekinge Tekniska Högskola, Avdelningen för signalbehandling, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1312.
Full textGozie: modebelu2001@yahoo.com Anayo: ezeudea@yahoo.com
Albertini, Alessandro. "Influenza dei parametri della Short-Time Fourier Transform nell’analisi di emissioni condotte nell’intervallo 2-150 kHz." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
Find full textPaneras, Demetrios E. "Efficient STFT analysis over limited frequency regions." Thesis, Boston University, 1992. https://hdl.handle.net/2144/34651.
Full textPLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
We address the problem of efficiently computing, over narrow frequency bands, the short-time Fourier transform (STFT) and approximations to the STFT. This problem is important for the design of signal understanding systems that have to efficiently carry out STFT reprocessing of signals in order to examine detailed features of signal components that have already been located within narrow frequency bands. In the computation of the exact STFT we use an "overlap pruning" approach (Covell et al. 1992) for exploiting the commonality of computations between successive slices of the STFT with unity decimation interval. We have also extended this approach to the STFT with non-unity decimation intervals and combined it with a frequency pruning method (Sreenivas et al. 1980) to provide additional computational savings. In the computation of approximations to the STFT we use an algorithm (Khan et al. 1988) for efficiently computing Taylor series approximations over narrow frequency bands. Through examples involving real data we demonstrate the feasibility of using the approximated STFT to obtain more accurate estimates of the center frequency of spectral peaks, and to resolve multiple peaks that have been smeared due to the use of short window lengths. The efficiency of all the algorithms we have investigated is less than 0(N log N) multiplications per STFT slice and can be as small as O(N) multiplications per STFT slice in certain cases. Consequently, all the algorithms compare favourably with the standard FFT implementation of the STFT which requires O(N log N) multiplications per slice. All the algorithms considered in this thesis were implemented in software and tested on synthetic and real sound signals.
2031-01-01
Wojcicki, Kamil Krzysztof. "Role of the Short-Time Phase Spectrum in Speech Processing." Thesis, Griffith University, 2011. http://hdl.handle.net/10072/366376.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith School of Engineering
Science, Environment, Engineering and Technology
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Book chapters on the topic "Short-time Fourier transform"
Özhan, Orhan. "Short-Time-Fourier Transform." In Basic Transforms for Electrical Engineering, 441–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98846-3_7.
Full textBorisagar, Komal R., Rohit M. Thanki, and Bhavin S. Sedani. "Fourier Transform, Short-Time Fourier Transform, and Wavelet Transform." In Speech Enhancement Techniques for Digital Hearing Aids, 63–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96821-6_4.
Full textGröchenig, Karlheinz. "The Short-Time Fourier Transform." In Foundations of Time-Frequency Analysis, 37–58. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0003-1_4.
Full textTeofanov, Nenad, and Filip Tomić. "Extended Gevrey Regularity via the Short-Time Fourier Transform." In Applied and Numerical Harmonic Analysis, 455–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36138-9_25.
Full textCohen, Leon. "The Uncertainty Principle for the Short-Time Fourier Transform and Wavelet Transform." In Wavelet Transforms and Time-Frequency Signal Analysis, 217–32. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0137-3_8.
Full textAvargel, Yekutiel, and Israel Cohen. "Linear System Identification in the Short-Time Fourier Transform Domain." In Springer Topics in Signal Processing, 1–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11130-3_1.
Full textTeshale, Negasa B., Dinkisa A. Bulti, and Habib M. Hussien. "Radar Human Gait Signal Analysis Using Short Time Fourier Transform." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 82–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95153-9_8.
Full textLi, Zhiqiang, Xiao Wang, Ming Li, and Shuai Han. "An Adaptive Window Time-Frequency Analysis Method Based on Short-Time Fourier Transform." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 91–106. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22971-9_8.
Full textUkil, Abhisek, Yew Ming Yeap, and Kuntal Satpathi. "Frequency-Domain Based Fault Detection: Application of Short-Time Fourier Transform." In Power Systems, 195–221. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2977-1_6.
Full textBoggiatto, Paolo, Giuseppe De Donno, and Alessandro Oliaro. "A Class of Quadratic Time-frequency Representations Based on the Short-time Fourier Transform." In Modern Trends in Pseudo-Differential Operators, 235–49. Basel: Birkhäuser Basel, 2006. http://dx.doi.org/10.1007/978-3-7643-8116-5_13.
Full textConference papers on the topic "Short-time Fourier transform"
Khan, Nabeel Ali, M. Noman Jafri, and Saad A. Qazi. "Improved resolution short time Fourier transform." In 2011 7th International Conference on Emerging Technologies (ICET). IEEE, 2011. http://dx.doi.org/10.1109/icet.2011.6048476.
Full textBalamurugan, Rahul, Fatima Al-Janahi, Oumaima Bouhali, Sawsan Shukri, Kais Abdulmawjood, and Robert S. Balog. "Fourier Transform and Short-Time Fourier Transform Decomposition for Photovoltaic Arc Fault Detection." In 2020 IEEE 47th Photovoltaic Specialists Conference (PVSC). IEEE, 2020. http://dx.doi.org/10.1109/pvsc45281.2020.9300455.
Full textElbir, Ahmet, Hamza Osman Ilhan, Gorkem Serbes, and Nizamettin Aydin. "Short Time Fourier Transform based music genre classification." In 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT). IEEE, 2018. http://dx.doi.org/10.1109/ebbt.2018.8391437.
Full textBin Yang. "A study of inverse short-time fourier transform." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518416.
Full textZarei, Meysam, Amin Roshandel Kahoo, and HamidReza Siahkoohi. "Gas detection using deconvolutive short time Fourier transform." In Istanbul 2012 - International Geophysical Conference and Oil & Gas Exhibition. Society of Exploration Geophysicists and The Chamber of Geophysical Engineers of Turkey, 2012. http://dx.doi.org/10.1190/ist092012-001.105.
Full textCohen, Leon. "Uncertainty principles of the short-time Fourier transform." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Franklin T. Luk. SPIE, 1995. http://dx.doi.org/10.1117/12.211427.
Full textAubel, Celine, David Stotz, and Helmut Bolcskei. "Super-resolution from short-time Fourier transform measurements." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6853553.
Full textKostiev, A. Yu, A. Yu Butrym, and S. N. Shulga. "Time-varying wiener filtering based on short-time fourier transform." In 2012 6th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE, 2012. http://dx.doi.org/10.1109/uwbusis.2012.6379813.
Full textMeng, Jie, and Zhihua Ding. "Optical Doppler tomography with short-time Fourier transform and Hilbert transform." In Photonics Asia 2007, edited by Xingde Li, Qingming Luo, and Ying Gu. SPIE, 2007. http://dx.doi.org/10.1117/12.757243.
Full textFeng, Tian, Yang Yixin, and Xu Lingji. "Doppler parameters estimation by Short Time Chirp Fourier Transform." In 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2011. http://dx.doi.org/10.1109/icspcc.2011.6061700.
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