A new superjunction LDMOS on silicon-on-insulator (SOI) with a nondepletion compensation layer (NDCL) is proposed. The NDCL can be self-adaptive to provide additional charges for compensating the charge imbalance while eliminating the substrate-assisted depletion effect. In addition, the highdensity oxide interface charges at the top surface of the buried oxide layer (BOX) enhance the electric field in the BOX and improve the vertical breakdown voltage (BV). Numerical simulation results indicate that a uniform surface electric field profile is obtained and that the vertical electric field in BOX is increased to 6 × 10 6 V/cm, which results in a high BV of 300 V for the proposed device with the BOX thickness of 0.5 μm and drift length of 15 μm on a thin SOI substrate.
Abstract-This paper reports a new delay subspace decomposition (DSD) algorithm. Instead of using the canonical zero-delay correlation matrix, the new DSD algorithm introduces a delay into the correlation matrix of the subspace decomposition to suppress noises in the data. The algorithm is applied to functional magnetic resonance imaging (fMRI) to detect the regions of focal activities in the brain. The efficiency is evaluated by comparing with independent component analysis and principal component analysis method of fMRI.Index Terms-Functional magnetic resonance imaging (fMRI), independent component analysis (ICA), noise suppression, principal component analysis (PCA), subspace decomposition.
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