Several possible approaches for airborne vector gravimetry are compared using the spectral analysis technique. The equations reduced to a time-invariant form special averaging method. Then Fourier transform is applied equations. accuracy of each approach determined as power density gravity Wiener estimate error. Numerical results presented given priori stochastic models disturbance and measurem...

I-vector based recognition is a well-established technique in state-of-the-art speaker and language recognition but its use in dialect and accent classification has received less attention. We represent an experimental study of i-vector based dialect classification, with a special focus on foreign accent detection from spoken Finnish. Using the CallFriend corpus, we first study how recognition ...

Adaptive beamforming suffers from performance degradation in the presence of mismatch between the actual and presumed array steering vector of the desired signal. This idea enlightens us, so we propose a subspace approach to adaptive beamforming that is robust to array errors based on minimizing MUSIC output power. The proposed method involves two steps, the first step is to estimate the actual...

In this paper we discuss the problem of reconstruction of a high resolution image from a lower resolution image by a jointly optimum interpolative vector quantization method. The interpolative vector quantizer maps quantized low dimensional 2x2 image blocks to higher dimensional 4x4 blocks by a table lookup method. As a special case of generalized vector quantization (GVQ), a jointly optimal qu...