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The noise removal and endmember unmixing are two pivotal problems for the hyperspectral image (HSI) data exploitation. Different from the traditional approach that treating these two schemes separately, the proposed coupled Denoising and Unmixing (cDeUn) model integrates them into a uniform framework. To obtain the desired denoising and unmixing performances, three issues are included. First, the...
Traditional video synopsis methods model the processing into an optimization formula where relations among objects such as collision cost are utilized while entire re-calculation is introduced under each possible temporal shift. Unlike the pairwise cost optimization, we propose a low-complexity and efficient online synopsis method where each tube is processed independently. Without tubes' comparison,...
This paper presents an efficient multi-circuit optimization approach and its applications to the parameter identification of microwave filters. The approach is based on l1 norm optimization. It strives to force the modeled response to approximate measured response and at the same time minimize the difference of parameter values between different circuits. The proposed method can not only achieve an...
A numerical dispersion optimized leapfrog alternating direction implicit finite-difference time-domain (ADI-FDTD) method is proposed in this paper, where a set of artificial anisotropic parameters is introduced into its implementation. Under such circumstances, its numerical dispersion can be suppressed efficiently. Some numerical experiments are performed and compared with the original leapfrog ADI-FDTD...
Canonical correlation analysis (CCA) between recorded electroencephalogram (EEG) and designed reference signals of sine-cosine waves usually works well for steady-state visual evoked potential (SSVEP) recognition in brain–computer interface (BCI) application. However, using the reference signals of sine- cosine waves without subject-specific and inter-trial information can hardly give the optimal...
Biogeography-based optimization (BBO) is a new evolutionary algorithm inspired by biogeography. BBO has demonstrated good performance on various benchmark functions and real-world optimization problems. However, the performance of BBO is sensitive to the migration model which provides the most important control parameters, immigration rate and emigration rate. According to no free lunch theorem, it...
In cognitive radio networks, to take advantage of idle spectrum of a primary user opportunistically, a cognitive radio user should detect the licensed channel frame-by-frame. In this paper, the cognitive radio user performs spectrum sensing firstly in each frame. If the primary user is found to be absent/ present, the cognitive radio user will transmit/wait for a while accordingly. We optimize a different...
The blast load response of precise bolt finite element model was studied by LS-DYNA software. Firstly, the initial stress of thread was added by the dropping temperature method. Then the dynamic response and deformation damage of the bolt model were calculated by the elastic-plastic constitutive material equation and surface-surface contact algorithm, which calculating models including bolt joint...
In this paper, an optimized method is proposed for the design of fully integrated fractional-N PLL system. The main target is to get relatively small capacitor value for on chip low pass filter while satisfy the system phase noise requirement. The method is implemented in CMMB application whose output frequency of the PLL is from 1.88 to 3.48 GHz. With the VCO tuning gain varying from 50 to 100 MHz/V,...
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