Non-Parametric Estimation of Gamma-Ray Burst Intensities Using Haar Wavelets
نویسنده
چکیده
In this article, I present a method for the non-parametric (model-free) estimation of intensity pro les underlying gamma-ray bursts. The method, TIPSH, is based on applying specially calibrated thresholds to the Haar wavelet coe cients of binned counts gathered from such bursts. As functions well-localized with respect to both time and scale, wavelets are an ideal tool for working with the often sharp, abrupt nature of gamma-ray burst signals. When applied to an idealized signal in a small simulation study and a selection of actual gamma-ray bursts, the TIPSH algorithm is found to be well capable of simultaneously estimating the smooth, uniform background and the pulse-like structure of gamma-ray burst signals. Subject headings: gamma rays: bursts { methods: statistical 2
منابع مشابه
Analysis of BATSE Data Using the Haar Transform and Poisson
A recently introduced method for the non-parametric (model-free) estimation of intensity prooles underlying gamma-ray bursts is discussed. The method, TIPSH, is based on applying thresholds to the Haar wavelet coeecients of binned counts gathered from such bursts. As functions well-localized with respect to both time and scale, wavelets are an ideal tool for working with the often sharp, abrupt...
متن کاملEstimation of Intensities of Burst - Like Poisson Processes Using HaarWavelets
I present a method for producing estimates of the intensity function of certain `burst-like' inhomogeneous Poisson processes, based on the shrinkage of Haar wavelet coe cients of the observed counts. The Haar basis is a natural wavelet basis in which to work in this context, and I derive thresholds for shrinkage estimation based on the distribution of the coe cients. The translation-invariant d...
متن کاملRanklets: Orientation Selective Non-Parametric Features Applied to Face Detection
We introduce a family of multiscale, orientation-selective, non-parametric features (“ranklets”) modelled on Haar wavelets. We clarify their relation to the Wilcoxon ranksum test and the rank transform and provide an efficient scheme for computation based on the Mann-Whitney statistics. Finally, we show that ranklets outperform other rank features, Haar wavelets, SNoW and linear SVMs (based on ...
متن کاملThe using of Haar wavelets for the expansion of fractional stochastic integrals
Abstract: In this paper, an efficient method based on Haar wavelets is proposed for solving fractional stochastic integrals with Hurst parameter. Properties of Haar wavelets are described. Also, the error analysis of the proposed method is investigated. Some numerical examples are provided to illustrate the computational efficiency and accuracy of the method.
متن کاملNumerical solution of non-planar Burgers equation by Haar wavelet method
In this paper, an efficient numerical scheme based on uniform Haar wavelets is used to solve the non-planar Burgers equation. The quasilinearization technique is used to conveniently handle the nonlinear terms in the non-planar Burgers equation. The basic idea of Haar wavelet collocation method is to convert the partial differential equation into a system of algebraic equations that involves a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1996