✦ LIBER ✦

Time-Frequency Signal Analysis of Earthquake Records Using Mexican Hat Wavelets

✍ Scribed by Ziqin Zhou; Hojjat Adeli

Book ID: 108528376
Publisher: John Wiley and Sons
Year: 2003
Tongue: English
Weight: 360 KB
Volume: 18
Category: Article
ISSN: 1093-9687
DOI: 10.1111/1467-8667.t01-1-00315

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

GENERATION OF ARTIFICIAL EARTHQUAKE MOTI

GENERATION OF ARTIFICIAL EARTHQUAKE MOTION RECORDS USING WAVELETS AND PRINCIPAL COMPONENT ANALYSIS

✍ RAJASEKARAN, S.; LATHA, VASUKI; LEE, S. C. 📂 Article 📅 2006 🏛 Taylor and Francis Group 🌐 English ⚖ 710 KB

Using the continuous discrete wavelet tr

Using the continuous discrete wavelet transform for time-frequency analysis of the surface emg signal

✍ Roxanne Constable; R.J. Thornhill; Marcus G. Pandv 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 130 KB

Joint time-frequency resolution of signa

Joint time-frequency resolution of signal analysis using Gabor transform

✍ Zielinski, T.P. 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 289 KB

Modal analysis of acoustic leak signal i

Modal analysis of acoustic leak signal in pipelines using time-frequency analysis

✍ Jiao, Jing-pin ;Fei, Ren-yuan ;He, Cun-fu ;Wu, Bin 📂 Article 📅 2006 🏛 Higher Education Press and Springer 🌐 English ⚖ 651 KB

Time–frequency analysis of spike-wave di

Time–frequency analysis of spike-wave discharges using a modified wavelet transform

✍ Daria Bosnyakova; Alexandra Gabova; Galina Kuznetsova; Yuri Obukhov; Inna Midzya 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 667 KB

Time-frequency analysis of the electroco

Time-frequency analysis of the electrocortical activity during maturation using wavelet transform

✍ Metin Akay; Yasemin M. Akay; Peter Cheng; Hazel H. Szeto 📂 Article 📅 1994 🏛 Springer-Verlag 🌐 English ⚖ 797 KB

In this study, we introduce the wavelet transform (WT) as a method for characterizing the maturational changes in electrocortical activity in 24 fetal lambs ranging from 110-144 days gestation (term 145 days). The WT, based on multiresolution signal decomposition, is free of assumptions regarding th