In this work, a new instantaneous fundamental frequency extraction method is presented, with the attention especially focused on its robustness for pathological voices processing. It is based on the Ensemble Empirical Mode Decomposition (EEMD) algorithm, which is a completely datadriven method for signal decomposition into a sum of AM FM components, called Intrinsic Mode Functions (IMFs) or mod...

This paper presents a new time of arrival (TOA) estimation technique using an improved energy detection (ED) receiver based on the empirical mode decomposition (EMD) in an impulse radio (IR) 60 GHz millimeter wave (MMW) system. A threshold is employed via analyzing the characteristics of the received energy values with an extreme learning machine (ELM). The effect of the channel and integration...

For the mode mixing problem caused by intermittency signal in empirical mode decomposition (EMD), a novel filtering method is proposed in this paper. In this new method, the original data is pretreated by using wavelet denoising method to avoid the mode mixture in the subsequent EMD procedure. Because traditional wavelet threshold denoising may exhibit pseudo-Gibbs phenomena in the neighborhood...

In this work, a correlation study between well-known seismic parameters and damage indices is presented. The correlation analysis is first performed on a set of natural seismic signals and afterwards on a set of artificial accelerograms generated from natural records. The artificial seismic signals are generated by a combination of techniques; the Hilbert-Huang transform and an optimization alg...

CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below are the names of the clusters and in parentheses their acronyms. 1. INTRODUCTION A feature of a seismic earthquake signal is that it is built up by several different seismic waves, characterizing the type of signal. In this paper we are only interested in two of these waves, namely the primary wave (P-...

The presentation concerns a method for tracking cycle lengths in voiced speech and analysing vocal cycle lengh fluctuations. The tracking of cycle lengths is based on a dynamic programming algorithm, which does not request that the signal is locally periodic and the average period length is known a priori. The obtained cycle length time series is then decomposed into a sum of intrinsic mode fun...

Keeping track of multiple objects over time is a problem that arises in many real-world domains. The problem is often complicated by noisy sensors and unpredictable dynamics. Previous work by Huang and Russell, drawing on the data association literature, provided a probabilistic analysis and a threshold-based approximation algorithm for the case of multiple objects detected by two spatially sep...

We propose a fourth-order total bounded variation regularization model which could reduce undesirable effects effectively. Based on this model, we introduce an improved split Bregman iteration algorithm to obtain the optimum solution. The convergence property of our algorithm is provided. Numerical experiments show the more excellent visual quality of the proposed model compared with the second...

Fifteen new species of the Leucophenga ornata species group are described from East Asia: L. apunctata Huang & Chen, sp. nov., L. arcuata Huang & Chen, sp. nov., L. brevifoliacea Huang & Chen, sp. nov., L. euryphylla Huang & Chen, sp. nov., L. falcata Huang & Chen, sp. nov., L. fuscinotata Huang & Chen, sp. nov., L. fuscithorax Huang & Chen, sp. nov., L. glabella Huang & Chen, sp. nov., L. hirs...