«classical wavelet transforms»

۶۴۸ نتیجه
  • Watermarking Based on the Hyperanalytic Wavelet Transform

    سند علمی۲۰۰۸Corina NAFORNITA, Alexandru ISAR

    In this paper we present a new technique for watermarking in the hyperanalytic wavelet domain. This has the advantage of better directional selectivity and shift invariance compared to the classical wavelet filter. The watermark is inserted into all levels of decomposition using

  • Application of Wavelet Transform Analysis to ADCs Harmonics Distortion

    سند علمی۲۰۱۳Computer and Information ScienceEmad A. Awada, Mohammad H. Alomari

    This paper presents a new method of detecting Analog to Digital Converter harmonic distortion. The new method is based on Wavelet multi-resolution process to identify instantaneous harmonic components. In classical testing, Fourier transform algorithm was long adopted to estimate

  • Real-time Audio Processing via Segmented Wavelet Transform

    سند علمی۲۰۰۷Pavel Rajmic, Jan Vlach

    In audio applications it is often necessary to process the signal in “real time”. The method of segmented wavelet transform (SegWT) makes it possible to compute the discrete-time wavelet transform of a signal segment-by-segment, not using the classical “windowing”. This means tha

  • Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech

    سند علمی۲۰۱۶Mohamed Hesham Farouk, D Campo, O L Quintero, M Bastidas

    We propose a study of the mathematical properties of voice as an audio signal. This work includes signals in which the channel conditions are not ideal for emotion recognition. Multiresolution analysisdiscrete wavelet transform – was performed through the use of Daubechies Wavele

  • Wavelet Transform and Orthogonal Decomposition of L 2 Space on the Cartan Domain Bdi

    سند علمی۱۹۹۷QINGTANG JIANG

    Let G = ( R∗+ × SO0(1, n) ) n Rn+1 be the Weyl-Poincaré group and KAN be the Iwasawa decomposition of SO0(1, n) with K = SO(n). Then the “affine Weyl-Poincaré group” Ga = ( R∗+ × AN ) n Rn+1 can be realized as the complex tube domain Π = Rn+1 + iC or the classical Cartan domain B

  • Compression of Finite Duration Ecg Signals Based on Wavelet Transform

    سند علمی۲۰۰۱Jirí Kozumplík, Ivo Provazník

    An example of application of the wavelet transform to electrocardiography is described in the paper. The transform is exploited as a first stage of an ECG signal compression algorithm. The signal is decomposed into particular time-frequency components. Some of the components are

  • Wavelet Transforms for Nonlinear Signal

    سند علمی۲۰۱۰Robert Nowak, Richard Baraniuk

    Robert Nowak Michigan State University East Lansing, MI 48824-1226 Email: rnowak@egr.msu.edu WWW: http://www.egr.msu.edu/spc/ Richard Baraniuk Rice University Houston, TX 77251-1892 Email: richb@rice.edu WWW:http://www-dsp.rice.edu ABSTRACT In this paper we describe two new struc

  • 2 M ar 2 00 6 WAVELET TRANSFORMS ASSOCIATED WITH THE BASIC BESSEL OPERATOR

    سند علمی۲۰۰۶WAFA BINOUS

    This paper aims to study the q-wavelet and the q-wavelet transforms, associated with the q-Bessel operator for a fix q ∈]0, 1[. As application, an inversion formulas of the q-Riemann-Liouville and q-Weyl transforms using q-wavelets are given. For this purpose, we shall attempt to

  • Quality Estimation of Video Transmitted overan Additive WGN Channel based on Digital Watermarking and Wavelet Transform

    سند علمی۲۰۱۰Mohamed S. El - Mahallawy, Attalah Hashad, Hazem Hassan Ali

    This paper presents an evaluation for a wavelet-based digital watermarking technique used in estimating the quality of video sequences transmitted over Additive White Gaussian Noise (AWGN) channel in terms of a classical objective metric, such as Peak Signal-to-Noise Ratio (PSNR)

  • Analysis of Wavelet Transform Implementations for Image and Texture Coding Applications in Programmable Platforms

    سند علمی۲۰۰۱Y. Andreopoulos, P. Schelkens, J. Cornelis

    This paper compares various software implementations of the 2-D binary-tree wavelet decomposition by analyzing the data-related cache penalties in processor-based platforms. Such penalties appear to be the dominant factors that determine performance in this type of applications.