Two fundamental aspects of frequency analysis shape the functional organization of primary auditory cortex. For one, the decomposition of complex sounds into different frequency components is reflected in the tonotopic organization of auditory cortical fields. Second, recent findings suggest that this decomposition is carried out in parallel for a wide range of frequency resolutions by neurons ...

in seismic exploration studies different types of techniques are used to recognize seismic features in terms of their temporal and spatial spectra. variations in frequency content are sensitive to subtle changes in reflection information (castro de matos et al., 2003). in this study the joint time-frequency analysis is used for seismic texture recognition. discrete wavelet transform (dwt) witho...

Decomposition of multi-exponential and related signals is generalized as a filtering problem on a logarithmic time or frequency scale and FIR filters operating with logarithmically sampled data are proposed to use for its implementation. The filter algorithms and types are found for various time-domain and frequencydomain mono-components. It is demonstrated that the ill-posedness in the multi-c...

This paper presents the nonlinear speech phoneme decomposition based on Volterra-Wiener functional series. It is shown the usage this nonlinear decomposition in speech recognition systems constructing. The fast algorithms for finding estimation of Wiener kernels in frequency domain permit to reduce essentially computing expenses for evaluation of signals decomposition.