Computational Signal Processing with WaveletsSignalverarbeitungwaveletOverview For over a decade now, wavelets have been and continue to be an evolving subject of intense interest. Their allure in signal processing is due to many factors, not the least of which is that they offer an intuitively ...
Compression with reversible embedded wavelets (CREW) is a unified lossless and lossy continuous-tone still image compression system. Wavelet coefficients a... A Zandi,M Boliek,EL Schwartz,... - Acoustics, Speech, & Signal Processing, on Conference, IEEE International Conference 被引量: 19发表: ...
Surface Wavelets: A Multiresolution Signal Processing Tool for 3D Computational Modeling. International Journal for Numerical Methods in Engineering 2001; 52: 239-271K. Amaratunga and J. Castrillon-Candas, Surface wavelets: a multiresolution signal processing tool for 3D computational modeling, ...
In this study, for the first time, the approximate solution of Black–Scholes option pricing distributed order time-fractional partial differential equation by means of Legendre and Chebyshev wavelets is considered. The operational matrices of Legendre and Chebyshev wavelets for integer order derivative...
P Govindan,J Saniie - 《Iet Signal Processing》 被引量: 5发表: 2015年 Three-Dimensional Flow in the Differentially Heated Cavity Using an Adaptive Wavelet Method Adaptive algorithms are crucial for accurate and efficient simulation of multi-dimensional physical problems which possess a wide range ...
Signal Processing Approach for Music Synthesis Using Bird's Sounds Hemant Sharma, E.S. Gopi Pages 287-294 View PDF Article preview select article Modified Shuffled Frog Leaping Algorithm based 6DOF Motion for Underwater Mobile Robot Research articleOpen access Modified Shuffled Frog Leaping Algorithm ...
This method introduces super resolution processing technology into post-processing of traditional reconstructed image sequences and improves resolution of reconstructed images.关键词: image registration integral imaging super-resolution reconstruction DOI: 10.1109/ICOSP.2010.5655907 被引量: 2 ...
ECG signal data is acquired and artifacts are removed using a quantised wavelet threshold method, followed by spectrogram analysis. Features are extracted using the VGG spectral net algorithm, and arrhythmia classification is performed with the deep bidirectional capsule network approach. The study evaluat...
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By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...