the helicopter-borne electromagnetic (hem) frequency-domain exploration method is an airborne electromagnetic (aem) technique that is widely used for vast and rough areas for resistivity imaging. the vast amount of digitized data flowing from the hem method requires an efficient and accurate inversion algorithm. generally, the inverse modelling of hem data in the first step requires a precise a...

AbslructDiscrete formulation of the surface interpolation problem usually leads to a large sparse linear equation system. Due to the poor convergence condition of the equation system, the convergence rate of solving this problem with iterative method is very slow. To improve this condition, a multiresolution basis transfer scheme based on the wavelet transform is proposed. By applying the wavel...

at first, ground-based circular strip-map synthetic aperture radar (gb-csmsar) and its capabilities is introduced and the received signal model, 2-d frequency spectrum and the azimuth and range resolutions are derived and compared with the linear motion strip-map sar resolutions. because of the stability of the path and speed of antenna in gb-csmsar a frequency domain imaging algorithm is sugge...

Hyperspectral remote sensing is an effective tool to discriminate plant species, providing vast potential to trace plant invasions for ecological assessments. However, necessary baseline information for the use of remote sensing data is missing for many high-impact invaders. Furthermore, the identification of the suitable classification algorithms and spectral regions for successfully classifyi...

A review of novel method of numerical Fourier transform spectroscopy of non-stationary signals and its applications to the time-frequency waveforms analysis of the electroencephalogram (EEG). The method uses the similar basis function (SBF) algorithm supported by classical methods of numerical estimation of trigonometric integrals based on the polynomial expansion of the function to be transfor...

Description of signals using wavelet transforms leads to useful time-frequency localization and possible signal compression. Based on the Discrete Wavelet Transform (DWT) an adaptive sampling algorithm in the discrete time domain is constructed, by finding an univocal relation between the signal’s samples and the non-zero transform coefficients of its DWT. Reconstruction is performed through re...

Extended Abstract Wavelet packets 14] represent a generalization of the method of multires-olution decomposition and comprise the entire family of subband coded (tree) decompositions 11, 15]. Whereas in the wavelet case the decomposition is applied recursively to the coarse scale approximations (leading to the well known (pyramidal) wavelet decomposition tree), in the wavelet packet decompositi...

In human hearing, frequency resolution is a term used to determine how well the ear can separate and distinguish two sounds that are close in frequency. This capability of breaking speech sounds into various frequency components plays a key role in processing and understanding speech information. In this paper, a piecewise-linear frequency shifting algorithm for digital hearing aids is proposed...