Transformada wavelet (Portuguese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Transformada wavelet" in Portuguese language version.

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N. Malmurugan, A. Shanmugam, S. Jayaraman and V. V. Dinesh Chander. "A New and Novel Image Compression Algorithm Using Wavelet Footprints" Arquivado em 19 de setembro de 2018, no Wayback Machine.

books.google.com

Hoffman, Roy (2012). Data Compression in Digital Systems. Springer Science & Business Media. [S.l.: s.n.] ISBN 9781461560319. Basically, wavelet coding is a variant on DCT-based transform coding that reduces or eliminates some of its limitations. (...) Another advantage is that rather than working with 8 × 8 blocks of pixels, as do JPEG and other block-based DCT techniques, wavelet coding can simultaneously compress the entire image.

doi.org

dx.doi.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. A. [S.l.: s.n.] 283 páginas. ISBN 0-7803-8560-8. doi:10.1109/TENCON.2004.1414412
«Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches?». Journal of Neuroscience Methods. 137: 321–332. PMID 15262077. doi:10.1016/j.jneumeth.2004.03.002
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. [S.l.: s.n.] pp. 79–82. ISBN 978-1-4244-8316-7. doi:10.1109/BIOWIRELESS.2011.5724356
Liu (2012). «Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection». Measurement Science and Technology. 23: 1–11. Bibcode:2012MeScT..23e5604L. doi:10.1088/0957-0233/23/5/055604
«Emerging applications of wavelets: A review» (PDF). Physical Communication. 3: 1–18. 2010. doi:10.1016/j.phycom.2009.07.001
Sheybani. «Dimensionality Reduction and Noise Removal in Wireless Sensor Network Datasets». 2009 Second International Conference on Computer and Electrical Engineering. 2: 674–677. ISBN 978-1-4244-5365-8. doi:10.1109/ICCEE.2009.282
Sheybani. «Multi-resolution filter banks for enhanced SAR imaging». 2012 International Conference on Systems and Informatics (ICSAI2012): 2702–2706. ISBN 978-1-4673-0199-2. doi:10.1109/ICSAI.2012.6223611

harvard.edu

ui.adsabs.harvard.edu

Liu (2012). «Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection». Measurement Science and Technology. 23: 1–11. Bibcode:2012MeScT..23e5604L. doi:10.1088/0957-0233/23/5/055604

ieee.org

ieeexplore.ieee.org

A. G. Ramakrishnan and S. Saha, "ECG coding by wavelet-based linear prediction," IEEE Trans. Biomed. Eng., Vol. 44, No. 12, pp. 1253-1261, 1977.

nih.gov

ncbi.nlm.nih.gov

«Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches?». Journal of Neuroscience Methods. 137: 321–332. PMID 15262077. doi:10.1016/j.jneumeth.2004.03.002

njit.edu

web.njit.edu

«Emerging applications of wavelets: A review» (PDF). Physical Communication. 3: 1–18. 2010. doi:10.1016/j.phycom.2009.07.001

web.archive.org

N. Malmurugan, A. Shanmugam, S. Jayaraman and V. V. Dinesh Chander. "A New and Novel Image Compression Algorithm Using Wavelet Footprints" Arquivado em 19 de setembro de 2018, no Wayback Machine.