Signal enhancement of surface plasmon resonance-based immunoassays for the allergen detection

A surface plasmon resonance (SPR) biosensor was used to determine the recombinant group 1 house dust mite allergen (rDer f1) in both HBS-EP buffer and fetal bovine serum (FBS). The monoclonal antibody was immobilized onto the CM5 sensor chip surface using an amine coupling method. The procedures of antibody immobilization and the subsequent primary and enhanced immunoassay were monitored in real time. The sensitivity for rDer f1 detection was remarkably improved by using intact polyclonal antibody as signal amplifying agent. Using this signal enhanced SPR immunosensor, rDer f1 in HBS-EP buffer and FBS was detected at a concentration of 15.4 and 32.1 ng/ml, respectively. The result demonstrates that SPR biosensor is a simple and reliable method for allergen detection.     

一种实时倾斜跟踪处理机设计

针对自适应光学系统中的倾斜跟踪回路,设计了以TMS320C6701数字信号处理器和XC2V1500现场可编程门阵列为核心处理器、基于PCI 总线的新型实时倾斜跟踪处理机平台。阐述了该平台的基本组成,根据点目标介绍了质心跟踪算法的软件实现。实验结果表明,该平台能满足倾斜跟踪回路的实时性要求。     

三表远传系统中信号检测电路设计与应用

文章介绍了三表远传系统中煤气表、水表信号的干簧管传感器型电路检测与处理方法,具有电路简单、价格低廉、性能可靠的特点;同时简要介绍了利用AD7757进行电能信号检测的应用电路。     

基于最佳门限消噪语音增强一种新方法的研究与实践

针对软门限对信号噪声的滤除方法,在分析小波变换消噪原理和方法的基础上,具体分析了阈值对小波变换消噪的影响.提出了改进阈值的阈值函数,给出更好的滤波结果.实验表明这种改进的算法有效地提高了增强效果.     

空间自适应正则化超分辨率图像重建

超分辨率图像重建是一个病态问题,在重建过程中需要正则化处理,而正则化重建会引入正则化误差及重建过程中由于病态性而引入的噪声放大误差,且这两类误差均和图像的空间局部特性有关.提出根据图像的局部空间统计特性自适应控制超分辨率图像正则化重建算法,采用图像局部统计方差来区分图像棱边区域及平滑区域,在图像的棱边区域加强图像的约束重建,而在图像的平滑区域加强正则化.实验表明该算法能有效地减小重建误差,算法的信噪比得益优于传统的正则化重建算法及总变分模型重建算法,并且对正则化参数的选择具有一定的鲁棒性.     

基于FPDP协议的高速数据传输总线设计与实现

基于前面板数据端口(FPDP)总线协议,设计并实现了一种高速数据传输总线。该总线为32位同步并行总线,可以提供多块板卡间的高速数据传输。文中通过FPGA实现的示例,给出了数据传输总线的性能,表明了其在多板卡系统中的应用是可行的。     

一种改进的宽带双曲调频信号检测方法

动物回声定位所用超声波具有双曲调频的形式,充分利用此信号的特性可以提高水下信号处理系统的目标检测性能.利用宽带舣曲调频信号自小波变换域的特性,针对直线形式的回波小波峰脊,将宽带目标回波检测问题转化为小波变换二维平面上的直线检测问题.提出了一种改进的基于小波-Radon变换的宽带仿生信号检测方法及其简化算法,并进行了仿真验证,结果表明检测器性能优于完成匹配滤波的宽带小波检测器,充分利用了宽带仿生信号的特性,同时印证了选择宽带双曲调频信号作为发射信号的合理性.     

Classification of Imagined Speech EEG Signals with DWT and SVM

With the development of human–computer interaction technology, brain–computer interface (BCI) has been widely used in medical, entertainment, military, and other fields. Imagined speech is the latest paradigm of BCI and represents the mental process of imagining a word without making a sound or making clear facial movements. Imagined speech allows patients with physical disabilities to communicate with the outside world and use smart devices through imagination. Imagined speech can meet the needs of more complex manipulative tasks considering its more intuitive features. This study proposes a classification method of imagined speech Electroencephalogram (EEG) signals with discrete wavelet transform (DWT) and support vector machine (SVM). An open dataset that consists of 15 subjects imagining speaking six different words, namely, up, down, left, right, backward, and forward, is used. The objective is to improve the classification accuracy of imagined speech BCI system. The features of EEG signals are first extracted by DWT, and the imagined words are classified by SVM with the above features. Experimental results show that the proposed method achieves an average accuracy of 61.69%, which is better than those of existing methods for classifying imagined speech tasks.     

M2OVQA: Multi-space signal characterization and multi-channel information aggregation for quality assessment of compressed omnidirectional videos

Considering the high requirements for omnidirectional video compression, we propose an objective quality evaluation method to assess quality loss in encoding omnidirectional videos. According to characteristics of 360° videos, we consider multi-space signal characterization (MSSC) to fully characterize the distortions of video signals from spatial/image domains to frequency domains and from image content to motion information, and further consider multi-channel information aggregation (MCIA) to fuse scores from multiple projection planes and temporal divided groups. The main innovation of our method is to establish a universal framework in bridging the connection between typical quality assessment and 360° quality assessment to measure 360° video quality effectively and efficiently. Experimental results show that our method outperforms state-of-the-art 2D quality metrics and quality metrics for omnidirectional images.     

超声冲击诱发表面纳米化及其对表面完整性的影响

采用不同超声冲击参数处理SMA490BW钢,研究了冲击后试样在低、高倍下的微观组织特征、残余应力及硬度分布等表面完整性能的变化。实验结果表明,经过超声冲击表面处理后,样品表面层晶粒细化为纳米晶,平均晶粒尺寸约为30nm;并在试样表层引入残余压应力,数值最大约为255.5MPa;超声冲击对SMA490BW钢表面能够起到明显的强化作用,与未经处理的试样相比,处理后试样表面硬度最大提高了约66.7%。超声冲击强化处理改善SMA490BW钢的表面完整性的效果与冲击电流、冲击时间之间的关系不遵循单调变化规律,超声冲击参数为20min/1.5A时,试样具有较好的表面完整性,冲击影响层深度约为320μm。