用于混沌时间序列自适应预测的一种少参数二阶Volterra滤波器

研究了二阶Volterra滤波器的一种乘积耦合近似实现结构及其非线性NLMS自适应算法,并用这种少参数二阶Volterra滤波器(RPSOVF)研究了一些混沌信号的非线性自适应预测性能.仿真研究结果表明:所给出的非线性NLMS自适应算法能够保证这种RPSOVF的稳定性和收敛性,且RPSOVF用这种非线性NLMS自适应算法能够自适应预测一些混沌时间序列. 关键词： 混沌 非线性自适应预测 Volterra滤波器 非线性NLMS自适应算法     

Voigt线形函数二阶导数研究

在强展宽条件下, 光谱信号二阶导数相互的交叠影响较小, 是一种潜在的反演光谱信息的手段. 本文研究了光谱Voigt线形函数的二阶导数, 得出了其二阶导数全域积分为0的性质, 计算了二阶导数最小值与偶数高阶导数最大值和最小值的解析结果, 并通过数值计算与曲线拟合得出了其极大值位置与零点位置的比例与洛仑兹-多普勒半宽比的关系, 为强展宽下由光谱二阶导数准确反演光谱信息提供了理论基础. 关键词： Voigt函数 二阶导数最小值 零点位置     

一种改进的Sobel图像边缘检测算法

边缘检测在数字图像处理和计算机视觉中有着重要的应用。对数字图像处理中具有代表性的Sobel边缘检测算法进行了分析。针对该算法存在检测出的边缘粗且对噪声极其敏感的缺点,提出了一种改进算法。该算法对实际图像中出现的边缘类型进行了数学模型描述,然后把连续型的边缘模型作为研究对象,重新构造了对图像边缘方向进行检测的模板。针对Sobel边缘检测基于一阶导数极大值或二阶导数零交叉而带来的边缘定位准确度不高的缺点,对图像梯度图进行了细化处理。仿真结果表明:该算法对图像噪声干扰有较强的抑制能力,提取的边缘定位准确、结构细腻。     

针对周期偏移声信标的二阶高精度水声定位模型

针对传统长基线水声定位模型在以飞机黑匣子等周期偏移声信标为目标时定位精度显著下降的问题,提出了一种不依赖于信号周期信息的新型长基线定位模型。该模型将传统时延差定位模型拓展至二阶,通过求取到达时间的二阶导数,消去未知声信标周期。为避免由阶数提高引起的解算非收敛问题,引入了改进牛顿迭代算法,有效提高了新模型的收敛概率。所提出新模型的仿真试验及湖上试验的定位误差分别为3.14 m和1.19 m,试验结果表明,该模型实现了周期偏移声信标的高精度定位解算。     

廿蔗初压汁锤度近红外光谱分析的波段优选

用近红外透射光谱技术和偏最小二乘法建立甘蔗初压汁锤度的定量分析模型.用多元散射校正和Savitzky-Golay平滑化方法对原谱、一阶导数谱和二阶导数谱进行预处理.选取400-1100nm、1100-1400nm、1550-1850nm、2100-2350nm以及全谱(400-2500nm)5个波段,每个波段分别采用原光谱、一阶导数谱、二阶导数谱.同时调整Sayitzky-Golay平滑点数和PLS因子数,通过多次PLS数值实验比较,按照预测效果确定每个模型的最优平滑点数、因子数,再从中选优.结果表明,采用二阶导数谱的1550-1850nm波段的定标效果最好,模型的预测相关系数、预测均方根偏差、相对预测均方根偏差分别为0.896,0.406,1.95%.1550-1850nm波段可以代替全谱波段得到好的定标效果,为设计小型专用近红外分析仪器提供依据.     

一种新的上边缘算子及其应用

本文给出了以乘积形式定义的上边缘算子. 在非阿贝尔规范场存在的情况下, 利用这种算子对空间平移群的结合律进行了讨论. 另外还讨论了SU(2)和SO(3规范)理论中的磁单极的量子化条件.     

基于Facet模型的闪光图像边缘检测

针对闪光图像的特点,对经典边缘检测算子进行了分析,发现存在检测出的边缘粗和对噪声的干扰比较敏感的缺点,提出了一种基于Facet模型的爆轰实验图像边缘检测算法。该方法吸取了其它同类方法的优点,引进了正交基简化了运算,用离散正交多项式对图像每个像素的邻域作最佳曲面拟合,在此基础上使用整体梯度算子寻求二阶方向导数的零交叉点,最终提取边缘点。结果表明:该方法检测出的边缘细,并且光滑连续,对图像噪声干扰有较强的抑制能力,对于孤立的边缘能够给出较精确的定位。     

连续混沌信号的离散余弦变换域二次实时滤波预测

提出了少参数二阶Volterra滤波器的一种离散余弦变换(DCT)域二次滤波实现结构及其NLMS自适应算法，并用这种DCT域二次滤波预测器研究了三种连续混沌信号的非线性实时多步预测性能. 仿真研究结果表明：(1) 这种DCT域二次滤波预测器比少参数二阶Volterra滤波器的一步预测均方误差性能提高了100倍，表明这种实现结构简单、易实现，且具有更好的收敛性能；（2）采用这种滤波预测器对三种连续混沌时间序列的实时多步预测性能明显优于局域法的多步预测性能. 关键词： 混沌 实时预测 NLMS自适应算法     

叶片气动特性对局部型线导数变化的敏感性

叶片气动特性对其形状参数变化有一定的敏感性。本文将影响翼型气动性能的几何因素归结为局部型线一阶导数、二阶导数的变化程度问题,以S809翼型为研究对象,对其局部进行一定的几何形状设计,基于本课题组开发的UCFD计算程序,对相应工况下的气动情况进行模拟,系统研究不同气动条件下叶片的气动特性对局部型线一、二阶导数的变化程度的敏感性程度,找出他们之间客观规律。结果表明:叶型型线一、二阶导数的变化都会对气动性能产生显著影响,且影响程度与导数变化程度正相关;某些特定位置对一、二阶导数的变化敏感性较强。     

改进的Zernike矩工业CT图像边缘检测

为提高工业计算机断层扫描(CT)图像亚像素边缘检测的精度和速度,研究了一种改进的Zernike矩边缘检测方法。该方法采用Sobel边缘算子快速检测出图像所有可能的边缘,通过Zernike矩算子对所有可能的边缘进行重新检测,最后,检测出图像的亚像素边缘并计算其精确位置。由于采用Sobel算子检测出可能的边缘使后续Zernike矩算子检测范围缩小,从而减小了运算量,提高了运算速度。对实际CT图像进行的实验结果表明:改进的Zernike矩工业CT图像边缘检测精度绝对误差<0.24 pixel,改进算法的运算速度提高了约70%。     

Edge effects on frequency discrimination of tones presented in low- and high-pass noise backgrounds

Previous research has indicated that frequency discrimination performance is poorer for tones presented near the sharp spectral edge of a low-pass noise than for tones presented near the edge of a high-pass noise, or for tones in the same low-pass noise with high-pass noise added [Emmerich et al., J. Acoust. Soc. Am. 80, 1668-1672 (1986)]. The present study extends these findings in order to investigate how the steepness of the spectral edges of low- and high-pass maskers influences the discriminability of tones presented near these edges. Frequency discrimination was measured in each of three high- and low-pass noise backgrounds (which differed in the steepness of their filter skirts). The following results were obtained: (1) In the low-pass noise background, frequency discrimination performance improved as the filter skirt became more gradual; (2) in the high-pass noise background, performance first improved and then became poorer as the filter skirt became shallower; and (3) performance in low-pass noise was poorer than that in high-pass noise for the two steepest slopes employed (96 and 72 dB/oct) but not for the shallower slope (36 dB/oct). Results are discussed in the context of lateral suppression and edge pitch effects, and of a trade-off between possible edge effects and masking.     

一种基于小波和矩阵型扩散的图像放大

提出了一种基于小波多分辨分析和矩阵型扩散的图像放大方法.该方法把原图像作为放大图像的小波低频子带,初始高频置零小波重构,用矩阵型扩散方程处理后小波分解,得到估计的高频再与原图像重构.在扩散中取矩阵型扩散的扩散系数,选择其特征根,使扩散在垂直于边缘方向梯度较大时为逆扩散以锐化边缘,而沿边缘方向为正向扩散以增强边缘;同时提出了放大图像与原图像的一种相似性标准.该方法在放大图像的同时既去除了噪音又有效保持了边缘.数值实验结果证实,此方法为一个有效地图像放大方法.     

Bandwidth tunable high-Tc superconducting filter

We have developed a high-T_c superconducting band-pass filter, whose center frequency and bandwidth can be tuned independently, with steep attenuation at both lower and higher band edges. This tunable filter is composed of two different types of band-pass filters, one with steep attenuation at the lower band edge and the other with steep attenuation at the higher band edge. Two filters are connected in series and each filter is covered with additional dielectric plates, respectively. The tuning characteristics of the entire filter can be controlled by adjusting the distances between the dielectric plates and the substrate. The entire filter was fabricated monolithically on a 30-mm-wide and 60-mm-long LaAlO₃ substrate. A center frequency of 1.93 GHz, a 3 dB bandwidth of 20 MHz, and an attenuation of 30 dB, 1.0 MHz apart from both band edges, were obtained for the entire filter. Then, a sapphire plate was set above each of two filters, and a center frequency tuning of 10 MHz and a bandwidth tuning of 5 MHz were obtained by adjusting the distances between the substrate and the sapphire plates.     

基于人工传输线结构的小型化低通滤波器

提出了一种基于人工传输线结构的小型化低通滤波器的设计方法。通过利用电磁仿真软件直接构建出微带电抗器件并对其逐一进行参数提取验证,将设计的微带电抗器件进行组合集成和调试后得到相应的低通滤波电路。对5阶巴特沃兹低通滤波电路和0.5 dB切比雪夫低通滤波电路的设计和测量结果对比表明,采用本方法所设计的滤波器结构紧凑,面积约为常规低通滤波电路的23%,测量结果与仿真吻合。     

Comparative study of pattern correlation using Mexican hat and Coiflet wavelet-based filtering

In this work, a numerical study on the pattern correlation using wavelet filters is reported. A comparative study of the correlation using the Mexican hat and Coiflets filters is presented. A Coiflet filter acts not only as a band-pass filter but as a high-pass or low-pass filter. Therefore, unlike the Mexican hat-based filter which acts only as a pass-band filter, the Coiflet-based filters allow selecting horizontal, vertical or diagonals details of the original image. Each one of the original images can be discomposed in an average image and several detail images at different levels of multiresolution. We study the numerical correlation between binary patterns using the Mexican hat filter and the first and second multiresolution level obtained by Coiflet filtering. Additionally, an analysis about the noise immunity for the Mexican hat and Coiflet filters is realized. The results show that Coiflet filters are better to identify special characteristics but perform the worst when they are used with noisy images. On the other side, the Mexican filter presents a better noise immunity but performs the worst when is used to compare special characteristics.     

Minimization of dispersion for symmetric FBG optical filters

Sharp edges of the reflection spectrum of fiber Bragg gratings originate the group delay. As follows from the dispersion relations, the delay of the symmetric grating grows up with the second derivative of the reflectivity with respect to the frequency. The distortion functional is proposed for filter optimization. It is the mean square delay at fixed integral reflectivity. An analytic solution for filters with minimum distortion is obtained in the limit of weak grating.     

层析三维数字化仪层析图像滤波器的设计及研究

提出一种新型的递归中值滤波器，抛掉了统计参数的制约，将滤波算法转化为一种优化处理。该方法兼顾了滤波处理的光滑连续性及抑制噪声的累积特性，可有效地消除脉冲型干扰的影响，同时也从理论的角度上对该算法进行了分析。为消除加性高斯噪声，提出了一种基于图像边缘方向的小波线性滤波器，它仅仅处理边缘信息。该算汉的极大优点是克服了边缘模糊效应，小波的去噪逆向重构的处理方法对边缘为跃型的层析图象非常实用。     

基于分形特征和双层光子带隙结构的宽阻带低通滤波器

提出一种新颖的基于分形特征和双层光子带隙（PBG）结构的宽阻带低通滤波器. 该滤波器在接地板上刻蚀一阶Sierpinski carpet PBG结构，在顶层微带线与接地板之间增加一层具 有三阶Sierpinski gasket PBG结构的金属层，该金属层经过打通孔与接地板连通. 这种双 层PBG结构的低通滤波器，具有良好的宽阻带特性，且电路尺寸小、结构紧凑. 对比了单层 普通方孔PBG结构的低通滤波器、单层一阶Sierpinski carpet PBG结构的低通滤波器和双层 分形PBG结构低通滤波器的传 关键词： 低通滤波器 双层PBG结构 分形 宽阻带特性     

Color image edge detection method using VTV denoising and color difference

The traditional Canny edge uses Gaussian filter to suppress the noise, it also smoothes out the image edges. An improved Canny edge detection method for color image is proposed in this paper, the improved method uses fast vectorial total variation (VTV) minimization model to remove noise in color image, and then calculates the color difference and direction in CIELAB color space, which is used for non-maximal suppression. Finally, the improved method extracts the edges by the double-threshold method. The experimental results show that the proposed method achieves better performance than the traditional Canny edge detector. It can remove noise while preserving the image edges, and effectively detect the image edges.     

Low-pass and high-pass filters using coaxial-type dielectric resonators

This paper proposes new low-pass and high-pass filters using coaxial-type dielectric resonators. The low-pass filter has a LC-type circuit structure and is composed of three inductances and two resonance circuits. The resonance circuits are the open-ended coaxial-type dielectric resonators whose length is g/4. The high-pass filter has a CL-type circuit structure. Two high-pass filters are described, one of them is composed of three capacitances andtwo resonance circuits, the other is composed of five capacitances and four resonance circuits. The operating frequency range of the low-pass filter is 0.13–0.9 GHz and the cutoffency is 900 MHz, and the insertion loss is 0.3 dB. The corresponding quantities of the high-pass filter are 0.9–2.5 GHz, 900 MHz, and 0.3 dB, respectively.