Wavelet Toolbox

Wavelet Toolbox™ provides functions and an app for developing wavelet-based algorithms for the analysis, synthesis, denoising, and compression of signals and images. The toolbox lets you explore wavelet properties and applications such as speech and audio processing, image and video processing, biomedical imaging, and 1-D and 2-D applications in communications and geophysics.

References in zbMATH (referenced in 52 articles )

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  1. Mehra, Mani: Wavelets theory and its applications. A first course (2018)
  2. Onal, Emel; Yumak, Kahraman; Seker, Serhat: The wavelet-based filtering method as an alternative to (k)-factor filtering for high-voltage impulse signals (2018)
  3. Devijver, Emilie: Model-based regression clustering for high-dimensional data: application to functional data (2017)
  4. Yaghmaie, Reza; Ghosh, Somnath: Multi-time scaling based modeling of transient electro-magnetic fields in vibrating media with antenna applications (2017)
  5. Jiang, P.; Liu, X.: Hidden Markov model for municipal waste generation forecasting under uncertainties (2016)
  6. Mahmoud, Masharif Mahmoud Ibrahim; Ben Mabrouk, Anouar; Hashim, Mohsin Hassan Abdallah: Wavelet multifractal modeling and prediction of transmembrane proteins series (2016)
  7. Marsili-Libelli, Stefano: Environmental systems analysis with MATLAB (2016) ioport
  8. Xue, Dingyü; Chen, YangQuan: Scientific computing with MATLAB (2016)
  9. Yaghmaie, Reza; Guo, Shu; Ghosh, Somnath: Wavelet transformation induced multi-time scaling (WATMUS) model for coupled transient electro-magnetic and structural dynamics finite element analysis (2016)
  10. Omari, Tahar; Bereksi-Reguig, Fethi: An automatic wavelet denoising scheme for heart sounds (2015)
  11. Park, Chun Gun; Kim, Inyoung: Efficient resolution and basis functions selection in wavelet regression (2015)
  12. Sundararajan, D.: Discrete wavelet transform. A signal processing approach (2015)
  13. Aykent, B.; Merienne, F.; Paillot, D.; Kemeny, A.: Influence of a new discrete-time LQR-based motion cueing on driving simulator (2014)
  14. Madishetty, Shiva K.; Madanayake, Arjuna; Cintra, Renato J.; Dimitrov, Vassil S.; Mugler, Dale H.: Algebraic integer architecture with minimum adder count for the 2-D Daubechies 4-tap filters banks (2014) ioport
  15. Park, Chun Gun: New selection approach for resolution and basis functions in wavelet regression (2014)
  16. Rajmic, Pavel; Prusa, Zdenek: Discrete wavelet transform of finite signals: detailed study of the algorithm (2014)
  17. Ikawa, Nobuko: Automated averaging of auditory evoked response waveforms using wavelet analysis (2013)
  18. Kazemi Nasab, A.; Kılıçman, A.; Pashazadeh Atabakan, Z.; Abbasbandy, S.: Chebyshev wavelet finite difference method: a new approach for solving initial and boundary value problems of fractional order (2013)
  19. Nasab, A. Kazemi; Atabakan, Z. Pashazadeh; Kılıçman, A.: An efficient approach for solving nonlinear Troesch’s and Bratu’s problems by wavelet analysis method (2013)
  20. Gunturk, Bahadir Kursat (ed.); Li, Xin (ed.): Image restoration. Fundamentals and advances (2012)

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