Multiresolution tree-structured models are attractive when dealing with large amounts of spatial data in environmental sciences. With the multiresolution tree structure, a change-of-resolution Kalman filter algorithm has been devised to predict spatial processes in a computationally efficient manner (see, e.g., Huang and Cressie (1997) and Huang, Cressie and Gabrosek (2002)). In this article, w...

SET-MEMBERSHIP IDENTIFICATION Sridhar Gollamudi and Yih-Fang Huang Laboratory for Image and Signal Analysis Department of Electrical Engineering University of Notre Dame Notre Dame, IN 46556 USA e-mail: [email protected] ABSTRACT Earlier research has shown that the use of set-membership identi cation (SMI) in adaptive equalization of multipath fading channels results in bit error rate performance ...

In this paper we report on an implementation of the algorithm of Aldeman, De Marrais and Huang for the solution of the discrete logarithm problem on jacobians of hyperelliptic curves. The method of Aldeman, De Marrais and Huang is closely related to the Number Field Sieve factoring method which leads us to consider a \lattice sieve" version of the original method. The supposed intractability of...

The empirical mode decomposition (EMD) was a method pioneered by Huang et al [8] as an alternative technique to the traditional Fourier and wavelet techniques for studying signals. It decomposes a signal into several components called intrinsic mode functions (IMF), which have shown to admit better behaved instantaneous frequencies via Hilbert transforms. In this paper we propose an alternative...

This paper is devoted to an analysis of environmental time series using the empirical mode decomposition (EMD) method. This is a new method, which was developed for the off-line analysis of non-stationary and stochastic signals. The purpose of the work was to modify the EMD algorithm for on-line analysis and to find out the states of ecosystems in real time. The practical realization of the alg...

Biomedical signals are in general non-linear and non-stationary. Empirical Mode Decomposition in conjunction with Hilbert-Huang Transform provides a fully adaptive and data-driven technique to extract Intrinsic Mode Functions (IMFs). The latter represent a complete set of locally orthogonal basis functions to represent non-linear and non-stationary time series. Large scale biomedical time serie...

This paper presents a pitch estimation method of noisy speech signal using empirical mode decomposition (EMD). The normalized autocorrelation function (NACF) of the noisy speech signal is decomposed into a finite set of band-limited signals termed as intrinsic mode functions (IMFs) using EMD. The periodicity of one IMF is supposed to be equal to the accurate pitch period. A conventional autocor...

When scene contains objects that are on different depth of focus, display all areas of the picture very well isn't possible. Combining information from multiple images of the same scene into image with better description of the scene than any of the individual source images, the technique of multifocus image fusion has been attracting more attention in the field of digital image processing in l...

Modal parameters of power transformer winding are closely related to transformer manufacturing and detection technology of winding deformation based on vibration analysis method. Aimed at identifying the modal parameters of transformer winding accurately, a modal experiment is designed and made on a real 10 kV power transformer. An improved Empirical Mode Decomposition (EMD) algorithm is propos...

The Long-Term Pavement Performance (LTPP) database contains surface profile data for numerous pavements that are used mainly for computing International Roughness Index (IRI).(2) In order to obtain more information from these surface profiles, a Hilbert-Huang Transform (HHT) based surface profile algorithm was developed to analyze LTPP field road profile data in order to extract smoothed, consi...