The best wavelet parameters for simulation signals
Simulation Methodology for Inference on Physical Parameters of Complex Vector-Valued Signals
... the simulation, computationally efficient multivariate circulant embedding is used to gen- erate portions of realizations whose spectral density function (SDF) matrix is given by the es- timated SDF matrix derived ...
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Simulation methodology for inference on physical parameters of complex vector valued signals
... the simulation, computationally efficient multivariate circulant embedding is used to gen- erate portions of realizations whose spectral density function (SDF) matrix is given by the es- timated SDF matrix derived ...
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Automatic Determination of the Parameters of Electrical Signals and Functional Responses of Plants Using the Wavelet Transformation Method
... Electrical signals and photosynthetic reactions were induced by two types of stimuli [11]. The first type of stimulation was a gradual heating simulating heat shock in natural conditions. The leaf was placed in a ...
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Wavelet Reconstruction of Nonuniformly Sampled Signals
... penalized wavelet reconstruction method for nonuniformly sampled sig- ...regularization parameters is based on the AIC, and the degrees of freedom is estimated by the number of nonzero elements in the Lasso ...
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Applications of wavelet transforms to analysing medical signals
... Therefore, to enhance ultrasound images of the type depicted here, of the presented techniques, the best technique is to use Laine's technique for enhancement with Wave[r] ...
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Wavelet analysis of non-stationary signals with applications
... of signals on bounded or half-in nite time intervals, as well as applying spline curve tting with optimal smooth- ing parameter selection through generalized cross-validation to identify the IF curve displayed in ...
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Empirical Wavelet Transform; Stationary and Nonstationary Signals
... the simulation results, it is recommended for multi-component signals modeled as but it is not advise for linear frequency modulation or chirp signal with , where the instantaneous frequency is increasing ...
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Wavelet Turbulence for Fluid Simulation
... 2005], and MacCormack [Selle et al. 2008] methods all attempt to maximize the detail resolved on a grid by suppressing dissipa- tion. Recent variational methods [Elcott et al. 2007; Batty et al. 2007] have designed ...
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Research Article Influence of Seismic Source Parameters on the Excitation Wavelet in Seismic Explorations Based on Numerical Simulation
... source parameters on the features of the explosion ...three parameters, including buried depth, charge weight, and decoupling ...the simulation outcomes, we also carry out field ...source ...
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1 Interface Parameters Signals... 5
... 2.11 serv_rf_if serv_rf_if is the gateway between the core and an RF implementation. It transforms all control signals that affect register reads or writes and exposes two read and write ports to the RF. This ...
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De Noising of ECG Signals by Design of an Optimized Wavelet
... ECG signals using wavelets is pre- ...the best wavelet for ...the best of them will be chosen that minimize the Signal-to-Noise Ratio ...the wavelet function and scaling function ...
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Noise Cancellation of PPG Signals using Wavelet Transformation
... discrete wavelet transform and characterized by a maximal number of vanishing moments for some given ...each wavelet type of this class, there is a scaling function (called the father wavelet) which ...
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Selection of Wavelet and Thresholding Rule for Denoising the ECG Signals
... ECG signals are affected by various ...ECG signals. In this work, the discrete wavelet transform (DWT) based wavelet denoising have implemented using different thresholding techniques to ...
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Wavelet Based Dictionaries for Dimensionality Reduction of ECG Signals
... for both scaling functions and wavelets. They were first constructed by I. Daubechies in [28]. We consider two vanishing moments used exact values of scaling and wavelet parameters from [29] and indicate ...
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Research and Simulation of GPS Navigation Signals
... the best visibility of the satellite, that is, when a satellite fails, it will minimize the overall impact of the system and guarantee the stable work of the ...
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Wavelet transforms of meteorological parameters and gravity waves
... considered. Wavelet analysis based on a computer simulation of data is generally close to the real data when Daubechies wavelet series are ...study, wavelet series and transforms for data ...
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Recognition of Fission Signals Based on Wavelet Analysis and Neural Network
... of wavelet packet decomposition and BP neural network technology to feature analysis and recognition for active inducing uranium components fission signals on the basis of measurement principles and signal ...
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The Fourier Notation of the Geomagnetic Signals Informative Parameters
... of signals (low visibility target signal in high time transient and very noisy ...small signals in hard noised field which depends more on their energy than on their ...the best length of the compu- ...
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Simulation of Gegenbauer processes using wavelet packets
... process, Wavelet packet transform, Best-basis, Autocovariance 1 Introduction The simulation of long memory processes is an issue of a paramount importance in many statistical ...The simulation ...
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Classification of SSVEP Based Brain Signals using Discrete Wavelet Transform
... the best hyperplane that separates all data points of one class from those of the other ...The best hyperplane for an SVM means the one with the largest margin between the two ...
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