Usual SAR imaging process makes the assumption that the reflectors are isotropic and white (i.e., they behave in the same way regardless the angle from which they are viewed and the emitted frequency within the bandwidth). The multidimensional continuous wavelet transform (CWT) in radar imaging was initially developed to highlight the image degradations due to these assumptions. In this article...

Time series analysis is used extensively in neuroscience in order to study the interdependence between two simultaneously recorded signals (Pereda et al., 2005). Neurophysiological time series are inherently non-stationary, and the detection of changes in covariance structure is important as they reflect changes in the functional connectivity of the system. This, therefore, allows us to make in...

The technique of wavelet phase coherence analysis is introduced and used to explore relationships between oscillations on blood flow and temperature in the skin of 10 healthy subjects. Their skin temperature and blood flow were continuously recorded: under basal conditions for 30 minutes; during local cooling of the skin with an ice-pack for 20 minutes: and 30 minutes thereafter. The group mean...

We thank the anonymous referee #1 for the positive and constructive remarks. Just like the referee, we struggled to improve and simplify the presentation of the technical results. In section 2 we tried to illustrate in a simple way the role of coherence by considering the (weak) pseudo-maximal signals. Then, to justify the use of the wavelet transform, we showed how the coherence of phase infor...

The Bark Coherence Function (BCF) [1] defines a coherence function with loudness speech as a new cognition module, robust to linear distortions due to the analog interface of digital mobile system. Preliminary experiments have shown the superiority of BCF over current measures. In this paper, a new BCF suitable for VoIP is developed. The new BCF is based on the wavelet series expansion that pro...

We thank the anonymous referee #1 for the positive and constructive remarks. Just like the referee, we struggled to improve and simplify the presentation of the technical results. In section 2 we tried to illustrate in a simple way the role of coherence by considering the (weak) pseudo-maximal signals. Then, to justify the use of the wavelet transform, we showed how the coherence of phase infor...

Atmospheric CO2, CH4, and CO are measured in a variety of locations across Canada. The wavelet transform is used to find points of interest, such as the daily carbon cycle, as well as longer term oscillations. Wavelet coherence finds patterns linking the sequences around 7 to 10 day oscillations, mostly during the summer. The daily CO2 cycle is stronger in more southern and urban locales, indic...

Wind Energy is a useful resource for Renewable energy purpose. Wind speed plays a vital role for wind energy calculation of certain location. So, it is very much necessary to know the wind speed data characteristics. In this paper fourier and wavelet transform are applied to study the wind speed data. We have compared wind speed of winter with summer by taking their speed into account using var...