Wavelet transform (English Wikipedia)

Daubechies, Ingrid; Lu, Jianfeng; Wu, Hau-Tieng (December 12, 2009). "Synchrosqueezed Wavelet Transforms: a Tool for Empirical Mode Decomposition". arXiv:0912.2437 [math.NA].

doi.org (Global: 2^nd place; English: 2^nd place)

Ho Tatt Wei and Jeoti, V. "A wavelet footprints-based compression scheme for ECG signals". Ho Tatt Wei; Jeoti, V. (2004). "A wavelet footprints-based compression scheme for ECG signals". 2004 IEEE Region 10 Conference TENCON 2004. Vol. A. p. 283. doi:10.1109/TENCON.2004.1414412. ISBN 0-7803-8560-8. S2CID 43806122.
J. Field, David (1987). "Relations between the statistics of natural images and the response properties of cortical cells" (PDF). J. Opt. Soc. Am. A. 4 (12): 2379–2394. Bibcode:1987JOSAA...4.2379F. doi:10.1364/JOSAA.4.002379. PMID 3430225.
Villasenor, John D. (August 1995). "Wavelet Filter Evaluation for Image Compression". IEEE Transactions on Image Processing. 4 (8): 1053–60. Bibcode:1995ITIP....4.1053V. doi:10.1109/83.403412. PMID 18291999.
Simoncelli, E.P.; Freeman, W.T.; Adelson, E.H.; Heeger, D.J. (1992). "Shiftable multiscale transforms". IEEE Transactions on Information Theory. 38 (2): 587–607. doi:10.1109/18.119725. S2CID 43701174.
Ramakrishnan, A.G.; Saha, S. (1997). "ECG coding by wavelet-based linear prediction" (PDF). IEEE Transactions on Biomedical Engineering. 44 (12): 1253–1261. doi:10.1109/10.649997. PMID 9401225. S2CID 8834327.
Bruns, Andreas (2004). "Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches?". Journal of Neuroscience Methods. 137 (2): 321–332. doi:10.1016/j.jneumeth.2004.03.002. PMID 15262077. S2CID 21880274.
Martin, E. (2011). "Novel method for stride length estimation with body area network accelerometers". 2011 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems. pp. 79–82. doi:10.1109/BIOWIRELESS.2011.5724356. ISBN 978-1-4244-8316-7. S2CID 37689047.
Liu, Jie (2012). "Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection". Measurement Science and Technology. 23 (5): 1–11. Bibcode:2012MeScT..23e5604L. doi:10.1088/0957-0233/23/5/055604. S2CID 121684952.
Tomás, R.; Li, Z.; Lopez-Sanchez, J. M.; Liu, P.; Singleton, A. (June 1, 2016). "Using wavelet tools to analyse seasonal variations from InSAR time-series data: a case study of the Huangtupo landslide". Landslides. 13 (3): 437–450. Bibcode:2016Lands..13..437T. doi:10.1007/s10346-015-0589-y. hdl:10045/62160. ISSN 1612-5118.
Akansu, A. N.; Serdijn, W. A.; Selesnick, I. W. (2010). "Emerging applications of wavelets: A review" (PDF). Physical Communication. 3: 1–18. doi:10.1016/j.phycom.2009.07.001.
Sheybani, E.; Javidi, G. (December 2009). "Dimensionality Reduction and Noise Removal in Wireless Sensor Network Datasets". 2009 Second International Conference on Computer and Electrical Engineering. Vol. 2. pp. 674–677. doi:10.1109/ICCEE.2009.282. ISBN 978-1-4244-5365-8. S2CID 17066179.
Sheybani, E. O.; Javidi, G. (May 2012). "Multi-resolution filter banks for enhanced SAR imaging". 2012 International Conference on Systems and Informatics (ICSAI2012). pp. 2702–2706. doi:10.1109/ICSAI.2012.6223611. ISBN 978-1-4673-0199-2. S2CID 16302915.
Silva, K. M.; Souza, B. A.; Brito, N. S. D. (October 2006). "Fault detection and classification in transmission lines based on wavelet transform and ANN". IEEE Transactions on Power Delivery. 21 (4): 2058–2063. Bibcode:2006ITPD...21.2058S. doi:10.1109/TPWRD.2006.876659. S2CID 36881450.
Szu, Harold H.; Telfer, Brian A.; Lohmann, Adolf W. (1992). "Causal analytical wavelet transform". Optical Engineering. 31 (9): 1825. Bibcode:1992OptEn..31.1825S. doi:10.1117/12.59911.
Lindeberg, T. (January 23, 2023). "A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time". Biological Cybernetics. 117 (1–2): 21–59. doi:10.1007/s00422-022-00953-6. PMC 10160219. PMID 36689001.
Qu, Hongya; Li, Tiantian; Chen, Genda (January 1, 2019). "Synchro-squeezed adaptive wavelet transform with optimum parameters for arbitrary time series". Mechanical Systems and Signal Processing. 114: 366–377. Bibcode:2019MSSP..114..366Q. doi:10.1016/j.ymssp.2018.05.020. S2CID 126007150.

hdl.handle.net (Global: 66^th place; English: 34^th place)

Tomás, R.; Li, Z.; Lopez-Sanchez, J. M.; Liu, P.; Singleton, A. (June 1, 2016). "Using wavelet tools to analyse seasonal variations from InSAR time-series data: a case study of the Huangtupo landslide". Landslides. 13 (3): 437–450. Bibcode:2016Lands..13..437T. doi:10.1007/s10346-015-0589-y. hdl:10045/62160. ISSN 1612-5118.

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Ramakrishnan, A.G.; Saha, S. (1997). "ECG coding by wavelet-based linear prediction" (PDF). IEEE Transactions on Biomedical Engineering. 44 (12): 1253–1261. doi:10.1109/10.649997. PMID 9401225. S2CID 8834327.

multimedia.cx (Global: low place; English: low place)

x264dev.multimedia.cx

Garrett-Glaser, Jason (February 2, 2010). "The problems with wavelets". Diary Of An x264 Developer. Archived from the original on February 28, 2010.

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J. Field, David (1987). "Relations between the statistics of natural images and the response properties of cortical cells" (PDF). J. Opt. Soc. Am. A. 4 (12): 2379–2394. Bibcode:1987JOSAA...4.2379F. doi:10.1364/JOSAA.4.002379. PMID 3430225.
Villasenor, John D. (August 1995). "Wavelet Filter Evaluation for Image Compression". IEEE Transactions on Image Processing. 4 (8): 1053–60. Bibcode:1995ITIP....4.1053V. doi:10.1109/83.403412. PMID 18291999.
Ramakrishnan, A.G.; Saha, S. (1997). "ECG coding by wavelet-based linear prediction" (PDF). IEEE Transactions on Biomedical Engineering. 44 (12): 1253–1261. doi:10.1109/10.649997. PMID 9401225. S2CID 8834327.
Bruns, Andreas (2004). "Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches?". Journal of Neuroscience Methods. 137 (2): 321–332. doi:10.1016/j.jneumeth.2004.03.002. PMID 15262077. S2CID 21880274.
Lindeberg, T. (January 23, 2023). "A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time". Biological Cybernetics. 117 (1–2): 21–59. doi:10.1007/s00422-022-00953-6. PMC 10160219. PMID 36689001.

ncbi.nlm.nih.gov

Lindeberg, T. (January 23, 2023). "A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time". Biological Cybernetics. 117 (1–2): 21–59. doi:10.1007/s00422-022-00953-6. PMC 10160219. PMID 36689001.

njit.edu (Global: low place; English: low place)

web.njit.edu

Akansu, A. N.; Serdijn, W. A.; Selesnick, I. W. (2010). "Emerging applications of wavelets: A review" (PDF). Physical Communication. 3: 1–18. doi:10.1016/j.phycom.2009.07.001.

rctn.org (Global: low place; English: low place)

J. Field, David (1987). "Relations between the statistics of natural images and the response properties of cortical cells" (PDF). J. Opt. Soc. Am. A. 4 (12): 2379–2394. Bibcode:1987JOSAA...4.2379F. doi:10.1364/JOSAA.4.002379. PMID 3430225.

semanticscholar.org (Global: 15^th place; English: 8^th place)

api.semanticscholar.org

Ho Tatt Wei and Jeoti, V. "A wavelet footprints-based compression scheme for ECG signals". Ho Tatt Wei; Jeoti, V. (2004). "A wavelet footprints-based compression scheme for ECG signals". 2004 IEEE Region 10 Conference TENCON 2004. Vol. A. p. 283. doi:10.1109/TENCON.2004.1414412. ISBN 0-7803-8560-8. S2CID 43806122.
Simoncelli, E.P.; Freeman, W.T.; Adelson, E.H.; Heeger, D.J. (1992). "Shiftable multiscale transforms". IEEE Transactions on Information Theory. 38 (2): 587–607. doi:10.1109/18.119725. S2CID 43701174.
Ramakrishnan, A.G.; Saha, S. (1997). "ECG coding by wavelet-based linear prediction" (PDF). IEEE Transactions on Biomedical Engineering. 44 (12): 1253–1261. doi:10.1109/10.649997. PMID 9401225. S2CID 8834327.
Bruns, Andreas (2004). "Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches?". Journal of Neuroscience Methods. 137 (2): 321–332. doi:10.1016/j.jneumeth.2004.03.002. PMID 15262077. S2CID 21880274.
Martin, E. (2011). "Novel method for stride length estimation with body area network accelerometers". 2011 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems. pp. 79–82. doi:10.1109/BIOWIRELESS.2011.5724356. ISBN 978-1-4244-8316-7. S2CID 37689047.
Liu, Jie (2012). "Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection". Measurement Science and Technology. 23 (5): 1–11. Bibcode:2012MeScT..23e5604L. doi:10.1088/0957-0233/23/5/055604. S2CID 121684952.
Sheybani, E.; Javidi, G. (December 2009). "Dimensionality Reduction and Noise Removal in Wireless Sensor Network Datasets". 2009 Second International Conference on Computer and Electrical Engineering. Vol. 2. pp. 674–677. doi:10.1109/ICCEE.2009.282. ISBN 978-1-4244-5365-8. S2CID 17066179.
Sheybani, E. O.; Javidi, G. (May 2012). "Multi-resolution filter banks for enhanced SAR imaging". 2012 International Conference on Systems and Informatics (ICSAI2012). pp. 2702–2706. doi:10.1109/ICSAI.2012.6223611. ISBN 978-1-4673-0199-2. S2CID 16302915.
Silva, K. M.; Souza, B. A.; Brito, N. S. D. (October 2006). "Fault detection and classification in transmission lines based on wavelet transform and ANN". IEEE Transactions on Power Delivery. 21 (4): 2058–2063. Bibcode:2006ITPD...21.2058S. doi:10.1109/TPWRD.2006.876659. S2CID 36881450.
Qu, Hongya; Li, Tiantian; Chen, Genda (January 1, 2019). "Synchro-squeezed adaptive wavelet transform with optimum parameters for arbitrary time series". Mechanical Systems and Signal Processing. 114: 366–377. Bibcode:2019MSSP..114..366Q. doi:10.1016/j.ymssp.2018.05.020. S2CID 126007150.

web.archive.org (Global: 1^st place; English: 1^st place)

Garrett-Glaser, Jason (February 2, 2010). "The problems with wavelets". Diary Of An x264 Developer. Archived from the original on February 28, 2010.
"Vorbis I specification". Xiph.Org Foundation. July 4, 2020. Archived from the original on April 3, 2022. Retrieved April 10, 2022. Vorbis I is a forward-adaptive monolithic transform CODEC based on the Modified Discrete Cosine Transform. The codec is structured to allow addition of a hybrid wavelet filterbank in Vorbis II to offer better transient response and reproduction using a transform better suited to localized time events.

worldcat.org (Global: 4^th place; English: 4^th place)

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Tomás, R.; Li, Z.; Lopez-Sanchez, J. M.; Liu, P.; Singleton, A. (June 1, 2016). "Using wavelet tools to analyse seasonal variations from InSAR time-series data: a case study of the Huangtupo landslide". Landslides. 13 (3): 437–450. Bibcode:2016Lands..13..437T. doi:10.1007/s10346-015-0589-y. hdl:10045/62160. ISSN 1612-5118.

xiph.org (Global: low place; English: low place)

"Vorbis I specification". Xiph.Org Foundation. July 4, 2020. Archived from the original on April 3, 2022. Retrieved April 10, 2022. Vorbis I is a forward-adaptive monolithic transform CODEC based on the Modified Discrete Cosine Transform. The codec is structured to allow addition of a hybrid wavelet filterbank in Vorbis II to offer better transient response and reproduction using a transform better suited to localized time events.

Wavelet transform (English Wikipedia)

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