Underdetermined DOA estimation and blind separation of non-disjoint sources in time-frequency domain based on sparse representation method

This paper deals with the blind separation of nonstation-ary sources and direction-of-arrival （DOA） estimation in the under-determined case, when there are more sources than sensors. We assume the sources to be time-frequency （TF） disjoint to a certain extent. In particular, the number of sources presented at any TF neighborhood is strictly less than that of sensors. We can identify the real number of active sources and achieve separation in any TF neighborhood by the sparse representation method. Compared with the subspace-based algorithm under the same sparseness assumption, which suffers from the extra noise effect since it can-not estimate the true number of active sources, the proposed algorithm can estimate the number of active sources and their cor-responding TF values in any TF neighborhood simultaneously. An-other contribution of this paper is a new estimation procedure for the DOA of sources in the underdetermined case, which combines the TF sparseness of sources and the clustering technique. Sim-ulation results demonstrate the validity and high performance of the proposed algorithm in both blind source separation （BSS） and DOA estimation.     

Image separation using wavelet-complex shearlet dictionary

This paper presents a new method for image separation through employing a combined dictionary consisting of wavelets and complex shearlets. Because the combined dictionary sparsely represents points and curvilinear singularities respectively, the image can be decomposed into pointlike and curvelike parts as accurate as possible. The proposed method based on the geo- metric separation theory introduced by Donoho in 2005 shows that accurate geometric separation of the morphologically distinct fea- tures of points and curves can be achieved by l1 minimization. The experimental results show that the proposed method can not only be effective but also greatly reduce the computing time.     

Method of adaptive PLL bandwidth adjustment without phase slipping

In a system based on the phase lock loop（PLL）, a trade-off must be made between the tracking precision and the dynamic performance if constant parameters are adopted. To overcome this drawback, a new method called no phase slipping adaptive bandwidth（NPS-AB） is proposed, which can adjust the loop bandwidth adaptively for different working conditions. As a result, both the tracking precision and the dynamic performance can be achieved concurrently. NPS-AB has two features to keep the loop stable： one is the capability of quick response to dynamics; the other is a series of additional constraints when the bandwidth is switched. Compared with other methods, there is no phase slipping during the adjustment process for NPS-AB. The phase integer ambiguity can be avoided and the phase value is kept valid. It is meaningful for carrier ranging systems. Simulation results show that NPS-AB can deal with sudden dynamics and keep the pseudo-range value stable in the entire dynamic process.     

主链液晶离聚物/PA1010/PP共混合金的力学性能及热行为

一种主链含磺酸基的热致液晶离聚物(LCI)作为增容剂被应用于PA1010与PP的共混改性·用DSC,TGA和拉伸试验对共混合金的热行为和力学性能进行了研究·结果表明,PA1010/PP共混合金中加入02%～06%LCI时增容作用增强·含LCI8%时,共混合金结晶温度和结晶度有较大提高,结晶完善程度略有降低,结晶速率降低,热稳定性不变·共混材料的拉伸强度为223MPa比纯PA1010的拉伸强度156MPa明显增强,LCI中磺酸基的存在对共混合金中PA1010组分影响较显著,增容机理是PA1010的酰胺基与LCI的磺酸基间强烈的相互作用·     

新型红外测油仪中的液芯波导技术

首次将液芯波导技术应用于中红外吸收测量的油成分分析领域, 研制的新型MFA-450型红外测油仪的灵敏度比现有同类型仪器提高一个数量级, 检出限为0.01 mg/L(油/萃取剂).     

Fe-20Mn-2.6Al-2.6Si钢拉伸变形机理研究

采用金相显微镜、X射线衍射仪和透射电子显微镜研究了Fe-20Mn-2.6Al-2.6Si TRIP/TWIP钢在不同变形量下的微观组织变化.结果表明:在应变初期,主要是形成层错和位错;随应变的增大,γ奥氏体相逐渐减少,ε马氏体相和α马氏体相增多;在断裂阶段,主要组成相为α马氏体,即Fe-20Mn-2.6Al-2.6Si钢在拉伸变形过程中主要发生γ→ε→α或γ→α相变诱导塑性变形.金相组织表明:该钢变形量达到6.5%时,开始出现许多平直的条纹(通常称为形变孪晶);但高分辨透射电镜研究表明:不同程度变形后的微观组织都难以观察到形变孪晶,而那些金相组织和低倍透射电镜照片上的平直条纹往往是ε马氏体相,这进一步证实该钢的变形机制主要是TRIP效应.     

固相萃取技术在环境中农药残留分析的研究进展

农药在环境中的广泛应用以及农药残留分析的困难,使得环境中农药的残留分析成为国际上环境科学研究的前沿和热点.固相萃取法（SPE）因高效、可靠、易实现自动化等优点,适用于农药残留物分析.本文对固相萃取的基本原理、影响因素和应用进展等方面进行了详细的阐述,就农药的检测方法（如LC、GC）做了总结概括.最后提出固相萃取在环境领域中农药残留分析的发展趋势是使用SPE-HPLC对极性差异很大,酸碱性范围很广的各种农药的多残留分析。     

聚丁二炔的结构相变

利用一个简单的连续模型去研究聚丁二炔的结构相变,对于其中的σ电子和π电子分别处理.在聚丁二炔链上,当出现从PDB相向PDA相转变时,会出现一个畴壁和反畴壁,这个相变的出现主要是由于π电子重新分布的结果.我们把畴壁(反畴壁)当作元激发来处理,详细分析了相变过程,计算了畴壁(反畴壁)的结合能,成功能解释了如下的实验事实:在低温下PDA相比PDB相更稳定,并且会自发地发生从PDB向PDA的相变.     

基于k-分辨-FB级数展开的多分量LFM信号分离

针对傅里叶-贝塞尔变换(FBT)难以估计和有效分离多分量LFM信号的问题,提出了一种k分辨-FB(k-FB)级数展开结合dechirp的信号分离与估计算法。在FB级数的基础上引入k分辨参数,通过理论推导,得出了信号频率与级数的关系,证明了参数估计精度与k取值正相关。通过解线频调和k-FB级数计算,实现了信号分离重构和参数估计。在不同信噪比、信号功率比和k分辨条件下对信号的分离精度进行了仿真研究,并与基于分数阶傅里叶变换(FrFT)的方法进行了对比。仿真结果验证了算法的有效性。     

反相高效液相色谱法快速测定靛蓝中残留苯胺

建立了用反相高效液相色谱测定靛蓝中残留痕量苯胺含量的方法.用YWG C18(5μm,300mm×5mmID) 柱,V甲醇∶V水=70∶30的溶液为流动相,柱温30℃时于285nm波长处以外标法测定.结果表明苯胺在6.92× 10-8～3.59×10-4g/mL范围内,浓度与峰面积有良好的线性关系(r=0.9997).苯胺的回收率为98.34%～ 98.36%,相对标准偏差为1.84%～3.03%(n=5).检测限为2.02×10-9g/mL(S/N=3).实验表明该法简便、快 速,应用于实际靛蓝样品中残留痕量苯胺的测定,取得了很好的结果.