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.     

溶剂沉淀分离法松脂加工工艺的研究

考察了不同有机溶剂对松脂的酸性组分（左旋海松酸、枞酸、硬脂酸）、不皂化物和松节油的溶解性能，研究了采用溶剂沉淀分离松脂树脂酸和松节油的加工新方法；分析沉淀分离条件对松脂树脂酸沉淀产率的影响，探讨沉淀分离法松脂加工工艺条件；运用气相色谱/质谱分析树脂酸沉淀的化学组成，并进行理化性能测试。结果表明：以二氯甲烷为良性溶剂溶解松脂，与松脂酸性组分的非良性溶剂乙腈混合，可以沉淀分离松脂树脂酸；滤液中二氯甲烷和乙腈可通过分馏方法分离回收、重复利用，而松节油则通过水蒸气蒸馏法分离回收；在松脂、二氯甲烷和乙腈的质量比为1∶13∶2的条件下，松脂树脂酸的产率为71 %、酸值为183 mg/g、不皂化物质量分数为2 %；该溶剂沉淀分离方法适用于马尾松松脂等松节油含量不高的松脂原料，无需特殊设备，操作工艺简单，不改变天然松脂树脂酸的化学组成，有利于天然松脂资源的综合利用。     

基于气基直接还原-熔分的硼铁矿高效利用新工艺

实验室条件下,以含硼铁精矿为原料制备氧化球团,对含硼铁精矿气基竖炉直接还原-电炉熔分新工艺进行了研究.结果表明,含硼铁精矿是良好的造球原料,1 200℃下焙烧20 min后,成品球团抗压强度可达2 500 N以上,满足气基竖炉直接还原工艺要求.在H2与CO体积比大于2/5且温度在850~1 000℃条件下,含硼铁精矿氧化球团还原率达到95%的时间为15~60 min,还原膨胀率不高于15%.在高温下电热熔化DRI后硼和铁可以高效分离,硼、铁收得率均可达到98%以上,富硼渣中B2O3的质量分数在21%以上,活性可达89%左右,是"一步法"生产硼酸的优良原料.含硼铁精矿气基竖炉直接还原电炉熔分新工艺可以实现硼铁高效分离和清洁利用.     

主城区人行交通道路照明质量评价指标

采用客观与主观相结合的实验方法对重庆市主城区的部分人行道照明进行了实测,通过对大量测试信息的处理及分析,证明了半柱面照度应是人行道照明评价的最佳参数,并指出了现行人行道照明标准中评价指标的不足之处.研究中首次将计算机灰阶分离方法用于夜间行人面部特征的分析,从而得出立体感指标的适用范围和应用条件.该研究为人行道照明评价指标的制定提供了实验依据及科学的方法.     

水平管内油滴分散流摩擦压降特性的实验研究

对水平放置的内径为40mm的钢管内的油水两相流进行了详细的实验研究。针对钢管内油水2相油滴分散流的流型进行了描述,从实验和理论2方面分别对含水率和混合流速等因素对油滴分散流摩擦阻力压降规律的影响进行细致分析。实验表明,含水率和混合流速是影响压降的主要因素,在不同流型下,同一因素对压降规律的影响也有所不同。     

Hamilton体系下分离变量法可和性

非自伴算子特征函数系的完备性是一个非常困难的研究课题,至今还没有统一的处理方法.对一类可用分离变量法求解的偏微分方程引入Hamilton系统,论证了基底函数组的辛正交系分别在Abel平均与Cauchy主值意义下的完备性与收敛性,并将Abel平均意义下的结论推广到更一般情形,即θ可和性意义下的情形.特别地得到了给定级数在...     

一种新的解锁螺栓分离时间测试方法

基于激光位移传感器测试解锁螺栓分离时间的思想,设计一种新的解锁螺栓分离时间测试方法,并设计了相应的测试系统,其测试不确定度为0.184%.通过试验得到新方法测得解锁螺栓分离时间平均值14.74ms,传统的通-断靶线法测得分离时间平均值14.60ms,三次试验均值相差0.14ms.结果表明,新方法不仅能直接有效地测试解锁螺栓分离时间,还能间接地表征解锁螺栓的分离速度、冲击加速度以及分离冲量等分离特性参数.     

金属有机骨架材料上气体吸附存储与分离的研究进展

对金属有机骨架(MOFs)材料的结构及合成方法做了简要概述;结合国内外研究现状详细介绍了MOFs材料在吸附存储与分离领域的研究进展,并对MOFs材料在该领域的应用进行了展望.     

MFI-type zeolite membrane on hollow fiber substrate for hydrogen separation

High performance MFI-type zeolite membranes on the outer surface of α-Al 2 O 3 hollow fibers were synthesized by secondary growth method using pure silica sol without an organic template. X-ray diffraction was used to characterize the phase structure of both the seed layer and zeolite membrane. The morphologies of the seed layer and zeolite membrane were examined by scanning electron microscopy. The zeolite membrane achieved an extraordinary H 2 /CO 2 separation factor of 10 with a high H 2 permeance of 5.56 10 -7 mol m -2 s -1 Pa -1 at 723 K.