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 45 articles )

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  1. Yaghmaie, Reza; Ghosh, Somnath: Multi-time scaling based modeling of transient electro-magnetic fields in vibrating media with antenna applications (2017)
  2. Jiang, P.; Liu, X.: Hidden Markov model for municipal waste generation forecasting under uncertainties (2016)
  3. Mahmoud, Masharif Mahmoud Ibrahim; Ben Mabrouk, Anouar; Hashim, Mohsin Hassan Abdallah: Wavelet multifractal modeling and prediction of transmembrane proteins series (2016)
  4. Marsili-Libelli, Stefano: Environmental systems analysis with MATLAB (2016) ioport
  5. Xue, Dingyü; Chen, YangQuan: Scientific computing with MATLAB (2016)
  6. Omari, Tahar; Bereksi-Reguig, Fethi: An automatic wavelet denoising scheme for heart sounds (2015)
  7. Park, Chun Gun; Kim, Inyoung: Efficient resolution and basis functions selection in wavelet regression (2015)
  8. Sundararajan, D.: Discrete wavelet transform. A signal processing approach (2015)
  9. Aykent, B.; Merienne, F.; Paillot, D.; Kemeny, A.: Influence of a new discrete-time LQR-based motion cueing on driving simulator (2014)
  10. 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
  11. Rajmic, Pavel; Prusa, Zdenek: Discrete wavelet transform of finite signals: detailed study of the algorithm (2014)
  12. Ikawa, Nobuko: Automated averaging of auditory evoked response waveforms using wavelet analysis (2013)
  13. 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)
  14. Gunturk, Bahadir Kursat (ed.); Li, Xin (ed.): Image restoration. Fundamentals and advances (2012)
  15. Jeng, Yih-Nen; Yang, Tzung-Ming; Cheng, You-Chi: A class of fast and accurate deterministic trend decomposition in the spectral domain using simple and sharp diffusive filters (2012)
  16. Kumar, Ranjeet; Kumar, Anil; Pandey, Rajesh Kumar: Electrocardiogram signal compression using beta wavelets (2012)
  17. Abhyankar, Aditya; Schuckers, Stephanie: A novel biorthogonal wavelet network system for off-angle iris recognition (2010)
  18. Al Wadi, S.; Ismail, Mohd Tahir; Karim, Samsul Ariffin Abdul: A comparison between the Daubechies wavelet transformation and the fast Fourier transformation in analyzing insurance time series data (2010)
  19. Farias, G.; Santos, M.; López, V.: Making decisions on brain tumor diagnosis by soft computing techniques (2010) ioport
  20. Kyriakopoulos, K.G.; Parish, D.J.: Applying wavelets for the controlled compression of communication network measurements (2010)

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