Search results for "Wavelet"

showing 10 items of 329 documents

Biorthogonal Wavelet Transforms Originating from Splines

2015

This chapter describes how to design families of biorthogonal wavelet transforms of signals and respective biorthogonal Wavelet bases in the signal space using spline-based prediction filters. Although the designed Wavelets originate from splines, they are not splines themselves. The design and implementation of the biorthogonal Wavelet transforms is done using the Lifting scheme. Most of the filters participating in the expansion of signals over the presented bases have infinite impulse responses and are implemented by recursive filtering whose computational cost is competitive with the FIR filtering cost. Properties of the designed Wavelets, such as symmetry, flat spectra, good time domai…

Spline (mathematics)Signal processingWaveletLifting schemeComputer scienceMathematicsofComputing_NUMERICALANALYSISTime domainImpulse (physics)Infinite impulse responseAlgorithmBiorthogonal wavelet
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Quasi-interpolating and Smoothing Local Splines

2015

In this chapter, local quasi-interpolating and smoothing splines are described. Although approximation properties of local spline are similar to properties of the global interpolating and smoothing splines, their design does not require the IIR filtering of the whole data array. The computation of a local spline value at some point utilizes only a few adjacent grid samples. Therefore, local splines can be used for real-time processing of signals and for the design of FIR filter banks generating wavelets and wavelet frames (Chaps. 12 and 14). In the chapter, local splines of different orders are designed and their approximation properties are established which are compared with the propertie…

Spline (mathematics)Smoothing splineComputer Science::GraphicsWaveletFinite impulse responseComputer scienceApproximation propertyComputationApplied mathematicsArray data typeSmoothingMathematics::Numerical Analysis
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Periodic Orthogonal Wavelets and Wavelet Packets

2018

In this chapter, we discuss how to derive versatile families of periodic discrete-time orthogonal wavelets and wavelet packets from discrete and discrete-time splines outlined in Chap. 3. These wavelets and wavelet packets, although not having compact supports, are well localized in the time domain. They can have any number of discrete vanishing moments. Their DFT spectra tend to have a rectangular shape when the spline order grows and provide a collection of refined splits of the Nyquist frequency band. The wavelet and wavelet packet transforms are implemented in a fast way using the FFT.

Spline (mathematics)WaveletComputer scienceNetwork packetFast Fourier transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematicsofComputing_NUMERICALANALYSISData_CODINGANDINFORMATIONTHEORYTime domainVanishing momentsNyquist frequencyAlgorithmWavelet packet decomposition
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Two-Dimensional Orthogonal Wavelets and Wavelet Packets

2018

This chapter extends the design of spline-based orthogonal discrete-time wavelets and wavelet packets to two-dimensional case. The corresponding transforms are implemented by using the 2D FFT.

Spline (mathematics)WaveletComputer sciencePhase spectrumFast Fourier transformMathematicsofComputing_NUMERICALANALYSISAlgorithmWavelet packet decomposition
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Discrete-Time Periodic Wavelet Packets

2014

Direct and inverse wavelet and wavelet packet transforms of a spline are implemented by filtering the spline’s coordinates by two-channel critically sampled p-filter banks. In this chapter, those p-filter banks are utilized for processing discrete-time signals. The p-filter banks generate discrete-time wavelets and wavelet packets in the spaces of 1D and 2D periodic signals.

Spline (mathematics)WaveletDiscrete time and continuous timeComputer scienceNetwork packetMathematicsofComputing_NUMERICALANALYSISInverseData_CODINGANDINFORMATIONTHEORYAlgorithmWavelet packet decomposition
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Interference excision algorithm for frequency hopping spread spectrum based on undecimated wavelet packet transform

2002

An algorithm for reducing narrowband interference effects in frequency hopping spread spectrum is presented. The method is based on the undecimated wavelet packet transform. It improves the performance obtained by other methods. Experimental results demonstrate the suitability of the algorithm.

Spread spectrumInterference excisionComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputer Science::Networking and Internet ArchitectureElectronic engineeringFrequency-hopping spread spectrumElectrical and Electronic EngineeringAlgorithmWavelet packet decompositionElectronics Letters
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Interactions between financial stress and economic activity for the U.S.: A time- and frequency-varying analysis using wavelets

2018

Abstract This paper examines the interactions between the main U.S. financial stress indices and several measures of economic activity in the time–frequency domain using a number of continuous cross-wavelet tools, including the usual wavelet squared coherence and phase difference as well as two new summary wavelet-based measures. The empirical results show that the relationship between financial stress and the U.S. real economy varies considerably over time and depending on the time horizon considered. A significant adverse effect of financial stress on U.S. economic activity is observed since the onset of the subprime mortgage crisis in the summer of 2007, indicating that the impact of fin…

Statistics and Probability050208 financeActuarial science05 social sciencesFinancial marketTime horizonLinkage (mechanical)Coherence (statistics)Condensed Matter Physicslaw.inventionWaveletlaw0502 economics and businessStress (linguistics)EconomicsFinancial stressEconometrics050207 economicsSubprime mortgage crisisPhysica A: Statistical Mechanics and its Applications
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Block Based Deconvolution Algorithm Using Spline Wavelet Packets

2010

This paper presents robust algorithms to deconvolve discrete noised signals and images. The idea behind the algorithms is to solve the convolution equation separately in different frequency bands. This is achieved by using spline wavelet packets. The solutions are derived as linear combinations of the wavelet packets that minimize some parameterized quadratic functionals. Parameters choice, which is performed automatically, determines the trade-off between the solution regularity and the initial data approximation. This technique, which id called Spline Harmonic Analysis, provides a unified computational scheme for the design of orthonormal spline wavelet packets, fast implementation of the…

Statistics and ProbabilityApplied MathematicsSpline waveletCondensed Matter PhysicsDeconvolution · Wavelet packet · Spline · RegularityWavelet packet decompositionSpline (mathematics)Quadratic equationModeling and SimulationOrthonormal basisGeometry and TopologyComputer Vision and Pattern RecognitionDeconvolutionThin plate splineLinear combinationAlgorithmMathematics
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Noise decomposition in random telegraph signals using the wavelet transform

2007

Abstract By using the continuous wavelet transform with Haar basis the second-order properties of the wavelet coefficients are derived for the random telegraph signal (RTS) and for the 1 / f noise which is obtained by summation of many RTSs. The correlation structure of the Haar wavelet coefficients for these processes is found. For the wavelet spectrum of the 1 / f noise some characteristics related to the distribution of the relaxation times of the RTS are derived. A statistical test based on the characterization of the time evolution of the scalogram is developed, which allows to detect non-stationarity in the times τ 's which compose the 1 / f process and to identify the time scales of …

Statistics and ProbabilityDiscrete wavelet transformSpectral densityWavelet transformCondensed Matter PhysicsNoise (electronics)Haar waveletsymbols.namesakeWaveletFourier transformStatisticssymbolsStatistical physicsContinuous wavelet transformMathematicsPhysica A: Statistical Mechanics and its Applications
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Gabor-like systems in ${cal L}^2({bf R}^d)$ and extensions to wavelets

2008

In this paper we show how to construct a certain class of orthonormal bases in starting from one or more Gabor orthonormal bases in . Each such basis can be obtained acting on a single function with a set of unitary operators which operate as translation and modulation operators in suitable variables. The same procedure is also extended to frames and wavelets. Many examples are discussed.

Statistics and ProbabilityPure mathematicsClass (set theory)Basis (linear algebra)General Physics and AstronomyStatistical and Nonlinear PhysicsFunction (mathematics)Translation (geometry)Unitary stateSet (abstract data type)WaveletModeling and SimulationOrthonormal basisGabor framesSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematics
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