introduction: seizures are symptoms associated with abnormal electrical activity in electroencephalogram (eeg). the present study was designed to determine the effect of absence seizure on heart rate (hr) changes in electrocardiogram (ecg). methods: hr alterations were recorded simultaneous with spike and wave discharges (swd) by eeg in 6 wag/rij rats as a well characterized and validated genet...

Over the past decade wavelet transforms have received a lot of attention from researchers in many diierent areas. Both discrete and continuous wavelet transforms have shown great promises in such diverse elds as image compression, image De-noising, signal processing, computer graphics, and pattern recognition, to name a few. Most of the work has been done on scalar wavelets, i.e., wavelets gene...

Ocean remotely sensed image analysis using two-dimensional continuous wavelet transforms Li-Chung Wu a , Laurence Zsu-Hsin Chuang b , Dong-Jiing Doong c & Chia Chuen Kao a a Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, Taiwan b Institute of Ocean Technology and Marine Affairs, National Cheng Kung University, Tainan, Taiwan c Department of Marine Environ...

In this paper we outline several points of view on the interplay between discrete and continuous wavelet transforms; stressing both pure and applied aspects of both. We outline some new links between the two transform technologies based on the theory of representations of generators and relations. By this we mean a finite system of generators which are represented by operators in Hilbert space....

In this paper we outline several points of view on the interplay between discrete and continuous wavelet transforms; stressing both pure and applied aspects of both. We outline some new links between the two transform technologies based on the theory of representations of generators and relations. By this we mean a finite system of generators which are represented by operators in Hilbert space....

Discrete nonorthogonal wavelet transforms play an important role in signal processing by offering finer resolution in time and scale than their orthogonal counterparts. The standard inversion procedure for such transforms is a finite expansion in terms of the analyzing wavelet. While this approximation works quite well for many signals, it fails to achieve good accuracy or requires an excessive...