𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Hilbert-huang transform and wavelet analysis of time history signal

✍ Scribed by Shi, Chun-xiang ;Luo, Qi-feng


Book ID
107401409
Publisher
Springer
Year
2003
Tongue
English
Weight
553 KB
Volume
16
Category
Article
ISSN
1000-9116

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Applications of Hilbert–Huang transform
✍ Norden E. Huang; Man-Li Wu; Wendong Qu; Steven R. Long; Samuel S. P. Shen 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 583 KB

## Abstract A new method, the Hilbert–Huang Transform (HHT), developed initially for natural and engineering sciences has now been applied to financial data. The HHT method is specially developed for analysing non‐linear and non‐stationary data. The method consists of two parts: (1) the empirical m

Analysis of partial discharge by Wavelet
✍ Ali Sarikhani; Ehsan Reihani; Nooshin Nabizadeh; Ali Hooshmand; Moez Davodi 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 337 KB

## Abstract Time‐frequency and time‐scale transforms are one of the powerful mathematical methods for feature extraction of non‐stationary signals such as partial discharge (PD) signals. Modified Fourier‐based transforms and Wavelet transforms are well known among them. PD signals can be analyzed b

On the analysis of fluctuating velocity
✍ Guido Buresti; Giovanni Lombardi; Jacopo Bellazzini 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 421 KB

In the present paper we describe signal processing procedures based on the wavelet and Hilbert transforms, which may be used to characterize the time variation of the amplitude and frequency modulations that are present in the fluctuating components of experimental velocity signals. The classical Hi

Time-Domain Quantification of Multiple-Q
✍ Hacene Serrai; Arijitt Borthakur; Lotfi Senhadji; Ravinder Reddy; Navin Bansal 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 81 KB

## The application of continuous wavelet transform (CWT) analysis technique is presented to analyze multiple-quantum-filtered (MQF) 23 Na magnetic resonance spectroscopy (MRS) data. CWT acts on the free-induction-decay (FID) signal as a time-frequency variable filter. The signal-to-noise ratio (SN