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This paper presents a novel noise robust feature extraction method for speech recognition. It is based on making the Minimum Variance Distortionless Response (MVDR) power spectrum estimation method robust against noise. This robustness is obtained by modifying the distortionless constraint of the MVDR spectral estimation method via weighting the subband power spectrum values based on the sub-band...
This paper proposes a new noise robust feature extraction method for speech recognition. It is based on the discrete cosine transform and minimum variance distortionless response (MVDR) methods of spectrum estimation and differential power spectrum technique. The large bias drawback of the periodogram method can be solved by using DCT instead of FFT. The MVDR method can also increase the robustness...
Structured light is one of the most appropriate methods for 3D measurement and reconstruction. In this research, a new technique based on the spatial neighborhood coding has been used due to its single pattern feature and the possibility of applying to dynamic surfaces. A color grid pattern coded with De Bruijn sequences has been designed and applied. The implemented correspondence algorithm shows...
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