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Blind source separation (BSS) aims to estimate unknown sources from their mixtures. Methods to address this include the benchmark ICA, SCA, MMCA, and more recently, a dictionary learning based algorithm BMMCA. In this paper, we solve the separation problem by using the recently proposed SimCO optimization framework. Our approach not only allows to unify the two sub-problems emerging in the separation...
Maneuvering Reentry Vehicle using Infrared(IR) imaging terminal guidance is vulnerable to interference which cause the seeker lost target. According to this problem, first, this paper presents a counter target lost Algorithm which combined passive location based on Modified Gain Extended Kalman Filter (MGEKF) and virtual guidance method to rebuild guidance information. Then the passive location accuracy...
A novel design methodology is proposed to enable sampling phase-locked loops (SPLL) to synthesise fractional-N frequencies. To date, SPLL can only generate integer-N frequencies. The benefit is that the proposed SPLL has the advantages of both fractional-N PLL and SPLL, such as the faster frequency switching, a smaller phase jump and a larger loop gain. Since the frequency divider can be omitted in...
High microwave-noise performance is realized in AlGaN/GaN metal-insulator semiconductor high-electron mobility transistors (MISHEMTs) on high-resistivity silicon substrate using atomic-layer-deposited (ALD) Al2O3 as gate insulator. The ALD Al2O3/AlGaN/GaN MISHEMT with a 0.25- ??m gate length shows excellent microwave small signal and noise performance. A high current-gain cutoff frequency fT of 40...
A new multi-scale image segmentation algorithm based on nonsubsampled contourlet transform (NSCT) and simplified plus coupled neural network (SPCNN) has been discussed in this paper. Comparing with plus coupled neural network (PCNN), the SPCNN algorithm can decrease the complexity of adjusting parameters significantly. First we combine susan edge detector with SPCNN, more accurate result can be obtained...
An improved segmentation method is proposed in this paper for metallographic images, especially those objects surrounded with complex texture. If only watershed algorithm is used for the segmentation of an image, the over-segmentation problem will be serious. To solve this, we proposed a new approach. In the method, we take the curvelet transform to denoise initial images by thresholding the different...
The paper focuses on the Multi-stAge noise SHaping (MASH) digital delta-sigma modulator (DDSM) that employs multi-moduli (MM-MASH). Different architectures of the MASH DDSM are compared. In particular, it is proven that a higherorder error feedback modulator (EFM) has the same sequence length as a first-order EFM (EFM1) in an MM-MASH. In addition, the method that is required to setup the quantisation...
Degradation mechanisms contributing to the increased high frequency noise of deep-submicrometer NMOSFETs after different hot-carrier (HC) stresses are investigated. It is demonstrated that device noise parameters, such as NFmin and Rn degrade most under maximum substrate-current (IB,max) stress. On the other hand, hot electron and hot hole injection have much lower degradation on device noise performance...
The extended adaptive voltage positioning (EAVP) method was applied to generate an initial decoupling capacitor (decap) design for a printed circuit board power delivery system (PDS). This initial design was tuned for maximum performance and minimum cost. A detailed 3D analysis of the PDS electrical behavior was first performed, then an automated optimization of decap selection and placement was applied...
In this paper, the impact of forward body biasing on the high frequency noise in deep sub-micrometer NMOSFETs is presented. Experimental results show that high frequency noise is increased with the body bias Vb, and have a positive dependence on the substrate bias. Possible mechanism behind the increase in RF noise of MOSFET under the forward body bias is studied. The increase of NFmin and Rn with...
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