Humans are capable of zooming in on the right range of scale, but it is not clear, yet, whether this processing involves either spatial variables, or two-dimensional spatialfrequency variables, or both spatial and spatial-frequency variables in the image description. The main motivation of this work is to show that at least it is possible in each domain to formulate algorithms giving solutions ...

This paper introduces classification of 3D MR images of brain, after enhancement using frequency filtering technique. The proposed method uses voxelwise spatial intensity matrix as features for the ANN classification. The approach consists of three key steps: (1) Convert 3D MRI from spatial to frequency domain (2) Select high frequency components to enhance the image. (3) Again convert the 3D M...

spectral decomposition is a powerful tool for analysis of seismic data. fourier transform determines the frequency contents of a signal. but for analysis of non-stationary signals, 1-d transform to frequency domain is not sufficient. in early years, transforming of seismic traces into time and frequency domain was done via windowed fourier transform, called a short time fourier transform (stft)...

in this paper, a smart method is designed in order to classify healthy and illness ducks using their emission voice. for this purpose, firstly, the birds based on their healthy condition are divided into the different categories and then their voices are saved using a microphone and data acquisition card. gained signals were transformed from time-domain signal to frequency domain using fast fou...