立方体溴化银颗粒光谱增感的电子转移超快动力学研究

本文利用皮秒时间分辨条纹相机技术检测了3种染料在立方颗粒溴化银上吸附后形成聚集体的荧光光谱,分析了3种染料在不同染料浓度下对染料聚集体到溴化银导带的超快电子转移过程的影响,进而分析其对增感效率的影响关系,并探讨了增感过程的微观机理.实验结果表明,荧光衰减的动力学曲线与一个双指数函数拟合得相当好,存在一快一慢两个衰减成分,快衰减成分占拟合较大比例,表明其源于与荧光衰减相竞争的从激发态染料聚集体到AgBr导带的电子转移.光致电子转移的速率及增感效率随着染料相对浓度的增加表现出一定的变化趋势,染料浓度增加,增感效率减小.     

采用加压-真空两段热缩聚法制备中间相沥青炭纤维的原料

以深度裂解石油渣油为原料，采用两段热缩聚法可制得软化点为268℃，可编性良好的中间相沥青。本文详细考察了温度，时间对中间相沥青软化点，可编性，中间相沥青形态及碳化收率的影响，并初步探讨了两段热缩聚反应的机理。研究结果表明反应温度，时间对中间相沥青的结构和性能影响较大，选择适宜石油渣油，采用加压－真空两段热缩聚法，调整反应条件，可制得可纺性良好的中间相沥青。     

基于全局不变矩和分块主颜色的图像检索算法

为充分发挥全局不变矩对图像形状信息着重考虑的优势,规避颜色直方图未曾考虑图像的空间位置以及常见分块策略忽略分块间的相互联系等弊端,提出一种改进的全局不变矩和分块主颜色相结合的图像检索算法。计算图像的全局不变矩,提取图像各分块主颜色,将两者进行归一化处理后进行线性加权求和,计算综合相似度。实验结果表明,该算法具有较高的检索精度,能够提高检索性能。     

Computer Algebra Derivation of the Bias of Linear Estimators of Autoregressive Models

Abstract. A symbolic method which can be used to obtain the asymptotic bias and variance coefficients to order O(1/n) for estimators in stationary time series is discussed. Using this method, the large‐sample bias of the Burg estimator in the AR(p) for p = 1, 2, 3 is shown to be equal to that of the least squares estimators in both the known and unknown mean cases. Previous researchers have only been able to obtain simulation results for the Burg estimator's bias because this problem is too intractable without using computer algebra. The asymptotic bias coefficient to O(1/n) of Yule–Walker as well as least squares estimates is also derived in AR(3) models. Our asymptotic results show that for the AR(3), just as in the AR(2), the Yule–Walker estimates have a large bias when the parameters are near the nonstationary boundary. The least squares and Burg estimates are much better in this situation. Simulation results confirm our findings.     

PERIODIC CORRELATION IN STRATOSPHERIC OZONE DATA

Abstract. A 50-year time series of monthly stratospheric ozone readings from Arosa, Switzerland, is analyzed. The time series exhibits the properties of a periodically correlated (PC) random sequence with annual periodicities. Spectral properties of PC random sequences are reviewed and a test to detect periodic correlation is presented. An autoregressive moving-average (ARMA) model with periodically varying coefficients (PARMA) is fitted to the data in two stages. First, a periodic autoregressive model is fitted to the data. This fit yields residuals that are stationary but non-white. Next, a stationary ARMA model is fitted to the residuals and the two models are combined to produce a larger model for the data. The combined model is shown to be a PARMA model and yields residuals that have the correlation properties of white noise.     

LDE融合光谱回归分类的光照变化人脸识别

针对光照变化人脸识别问题中传统的光谱回归算法不能很好地进行特征提取而严重影响识别性能的问题,提出了局部判别嵌入优化光谱回归分类的人脸识别算法。计算出训练样本的特征向量;借助于数据的近邻和分类关系,利用局部判别嵌入算法构建分类问题所需的嵌入,同时学习每种分类的子流形所需的嵌入;利用光谱回归分类算法计算投影矩阵,并利用最近邻分类器完成人脸的识别。在两大人脸数据库扩展YaleB及CMU PIE上的实验验证了该算法的有效性,实验结果表明,相比其他光谱回归算法,该算法取得了更高的识别率、更好的工作特性,并且降低了计算复杂度。     

多频带谱减法用于生态环境声音分类

基于人类听觉特性的Mel频率倒谱系数广泛用于声音识别,然而在生态环境中噪声的出现导致其识别率剧减。提出一种在噪声背景下生态环境声音分类方法。利用非线性多频带谱减法对声音功率谱进行去噪处理并提取改进Mel频率倒谱系数,有效削弱不同频率段噪声功率谱干扰。利用支持向量机良好的鲁棒性和抗噪能力对含有噪声的生态环境声音进行分类。实验表明该方法能有效在噪声背景下对生态环境声音准确分类。     

MULTIVARIATE WALSH-FOURIER ANALYSIS

Abstract. In this paper we establish a statistical methodology for the spectral analysis of stationary multivariate time series via the Walsh-Fourier transform. Theoretical results pertaining to the definition and estimation of the Walsh-Fourier spectral matrix and functions of that matrix including cross-spectra, coherency and phase are given. An example of the statistical techniques developed in this paper is given; in particular, the methodologies are applied to neonatal sleep data collected from a study of the effect of maternal substance use during pregnancy.     

光学纯去氢枞酸的制备与表征

用化学方法由歧化松香制得光学纯去氢枞酸，并以ＵＶ、ＩＲ、＾１ＨＮＭＲ、ＭＳ、元素分析和旋光对其结构进行了表征。     

用紫外吸收光谱法测定粗蒽中菲、蒽的含量

用紫外吸收光谱法同时测定粗蒽中菲、蒽的含量,结果表明,采用环已烷作溶剂,吸收波长分别为293nm和357nm,在0.004～0.04g/L范围内,菲、蒽符合线性关系。该方法操作简单、测定迅速、结果准确。