The DASH (Doppler Asymmetric Spatial Heterodyne) is used to detect the upper atmospheric wind velocity by its imaging Fizeau interference fringes. There are two measurement methods: Fourier series method (FSM) and popular transform (FTM). However, accuracy of FTM greatly influenced window function, calculation amount relatively complicated. Four-point algorithm (FPA) for DASH’ s proposed in thi...

For signal processing, the Wavelet transform (WT) has been shown to be a very promising mathematical tool. WT is efficient for local analysis of nonstationary and fast transient signals due its good estimation of time and frequency localization. In the complex wavelet transform analysis, the modulus maxima and the ± π/2 phase crossings point out the locations of sharp signal transitions. The ph...

The sliding window approach has been widely used for object detection because it provides a simple way to apply object recognition techniques to the detection task. Despite its effectiveness, though, the exhaustive search makes the approach inefficient in the case of a non-trivial classifier. The branch and bound techniques [3, 4] have been proposed in recent years to avoid the exhaustive searc...

[1] Impacts of atmospheric intraseasonal oscillations (ISOs) at submonthly periods (10–30 days) on Indian Ocean sea surface temperature (SST) are studied using satellite observed outgoing long wave radiation, QuikSCAT winds, SST and an ocean general circulation model for the period of 1999–2004. The results suggest that submonthly ISOs can cause significant 10–30 day SST changes throughout the ...

The Dipole Mode (DM) is the leading pattern of springtime wind–SST coupled interannual variability in Intra-Americas Seas, characterized by SST anomalies opposite sign between Caribbean Sea and Gulf Mexico. Using standard deviation (STD) wind a Maximum Correlation Analysis (MCA), this study aims to provide more dynamic view role atmosphere its coupling with SST. MCA reveals that positive phase ...

Wavelet transform provides a fine means of classifying seizure EEG signals from the normal EEG signals. Stationary wavelet transform (SWT) is used to further improve the performance of discrete wavelet transform. EEG signal prediction and classification can be bolstered up by applying SWT. In this work the residues obtained from denoising the signal using SWT is considered. Its arithmetical fac...

Somatostatin (SRIF)-14 is recognized as an important mediator between the nervous and the immune system, although the functional role of its receptors (sst(1)-sst(5)) is poorly understood in humans. In our study, we demonstrate that human macrophages, differentiated from PBMC-derived monocytes, express sst(1) and sst(2) mRNAs. sst(1) and sst(2) are mostly localized at the cell surface and displ...

The El Niño – Southern Oscillation (ENSO) maintained its warm state through the austral spring of 2002, however the Southern Oscillation Index (SOI) remained only weakly negative, with values of –7.6, –7.4 and –6.0 for September, October and November respectively. This resulted in a seasonal mean SOI of –7.0, an increase of 1.5 since the winter season (Jones 2003). The SOI for spring (arguably)...

oceanographic images obtained from environmental satellites by a wide range of sensors allow characterizing natural phenomena through different physical measurements. for instance sea surface temperature (sst) images, altimetry data and ocean color data can be used for characterizing currents and vortex structures in the ocean. the purpose of this thesis is to derive a relatively complete frame...