Xem 1-7 trên 7 kết quả Applying wavelets
  • Basic Orthogonal Wavelet Theory In Chapter 2 we saw how multiresolution analysis (MRA) works for the Haar system. A signal was decomposed into many components on different resolution levels. These components are mutually orthogonal. Despite their attractiveness, the Haar scalets and wavelets are not continuous functions. The discontinuities can create problems when applied to physical modeling. In this chapter we will construct many other orthogonal wavelets that are continuous and may even be smooth functions. ...

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  • Wavelet analysis is one of the most effective solutions to overcome the drawbacks of Fourier analysis, and since the seminal work of Ingrid Daubechies was published in the late 1980s, it has been applied very successfully in various branches of science and engineering. The fractional wavelet techniques started to play an important role in data treatment corresponding to complex systems during the last decade.

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  • Steganography is the art and science of communicating which hides the existence of the communication. Steganographic technologies are an important part of the future of Internet security and privacy on open systems such as the Internet. This book's focus is on a relatively new field of study in Steganography and it takes a look at this technology by introducing the readers various concepts of Steganography and Steganalysis. The book has a brief history of steganography and it surveys steganalysis methods considering their modeling techniques....

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  • EURASIP Journal on Applied Signal Processing 2003:8, 806–813 c 2003 Hindawi Publishing Corporation Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation Thomas Schell Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: tschell@cosy.sbg.ac.at Andreas Uhl Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: uhl@cosy.sbg.ac.

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  • EURASIP Journal on Applied Signal Processing 2003:5, 470–478 c 2003 Hindawi Publishing Corporation Speckle Suppression in Ultrasonic Images Based on Undecimated Wavelets Fabrizio Argenti Dipartimento di Elettronica e Telecomunicazioni, Universit` di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy a Email: argenti@lenst.det.unifi.it Gionatan Torricelli Dipartimento di Elettronica e Telecomunicazioni, Universit` di Firenze, Via di Santa Marta, 3, 50139 Firenze, Italy a Email: torricelli@det.unifi.

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  • EURASIP Journal on Applied Signal Processing 2003:5, 449–460 c 2003 Hindawi Publishing Corporation Multilevel Wavelet Feature Statistics for Efficient Retrieval, Transmission, and Display of Medical Images by Hybrid Encoding Shuyu Yang Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409-3102, USA Email: shu.yang@ttu.edu Sunanda Mitra Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX 79409-3102, USA Email: sunanda.mitra@coe.ttu.

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  • The wavelet transform is a new arrival on the mathematical scene. It is widely applied in the area of engineering, image processing. In this paper, we present the main concepts of wavelet, the averaging and differencing technique related to a wavelet decomposition, a linear algebra implementation of the Haar wavelet transform.

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