ABSTRACT: Electrostatic field measurements under storms have been widely measured in several aims, for current investigation, basically, corona and other phenoma [Lance et al. 1991]. On the other hand the application of the electrostatic field measurement results attractive for lightning hazard warning system. But several phenomena perturb and cause not a full representation of the storm electr...

An approach to multi-channel blind deconvolution is developed, which uses an adaptive filter that performs blind source separation in the Fourier space. The approach keeps (during the learning process) the same permutation and provides appropriate scaling of components for all frequency bins in the frequency space. Experiments verify a proper blind deconvolution of convolution mixtures of sources.

An approach to multi-channel blind deconvolution is developed, which uses an adaptive filter that performs blind source separation in the Fourier space. The approach keeps (during the learning process) the same permutation and provides appropriate scaling of components for all frequency bins in the frequency space. Experiments verify a proper blind deconvolution of convolution mixtures of sources.

Surface-consistent deconvolution is a standard processing technique in land data to uniformize the wavelet across all sources and receivers. The required wavelet estimation step is generally done in the homomorphic domain since this is a convenient way to separate the phase and the amplitude spectrum in a linear fashion. Unfortunately all surface-consistent deconvolutions make a minimum-phase a...

For short rp-verberation times (~ 10 msec) t and over short intervals (~ 50 msec) , speech waveforms reverberated by small rooms can be approximated by the convolution of a function interpreted as the "room impulse response" with the uncorrupted speech. It is possible, therefore, to remove the effects of reverberation by applying a deconvolution process to 50-msec sections of reverberated wavef...