Cepheid parallaxes and the Hubble constant

Revised Hipparcos parallaxes for classical Cepheids are analysed together with 10 Hubble Space Telescope ( HST )-based parallaxes. In a reddening-free V , I relation we find that the coefficient of log  P is the same within the uncertainties in our Galaxy as in the Large Magellanic Cloud (LMC), contrary to some previous suggestions. Cepheids in the inner region of NGC 4258 with near solar metallicities confirm this result. We obtain a zero-point for the reddening-free relation and apply it to the Cepheids in galaxies used by Sandage et al. to calibrate the absolute magnitudes of Type Ia supernova (SNIa) and to derive the Hubble constant. We revise their result for H ₀ from 62 to 70 ± 5 km s⁻¹ Mpc⁻¹. The Freedman et al. value is revised from 72 to 76 ± 8 km s⁻¹ Mpc⁻¹. These results are insensitive to Cepheid metallicity corrections. The Cepheids in the inner region of NGC 4258 yield a modulus of 29.22 ± 0.03 (int.) compared with a maser-based modulus of 29.29 ± 0.15. Distance moduli for the LMC, uncorrected for any metallicity effects, are 18.52 ± 0.03 from a reddening-free relation in V , I ; 18.47 ± 0.03 from a period–luminosity relation at K ; 18.45 ± 0.04 from a period–luminosity–colour relation in J , K . Adopting a metallicity correction in V , I from Macri et al. leads to a true LMC modulus of 18.39 ± 0.05.     

Whipple telescope observations of LS I +61 303: 2004–2006

In this paper we present the results of the past two years observations on the galactic microquasar LS I +61 303 with the Whipple 10 m gamma-ray telescope. The recent MAGIC detection of the source between 200 GeV and 4 TeV suggests that the source is periodic with very high energy (VHE) gamma-ray emission linked to its orbital cycle. The entire 50-hour data set obtained with Whipple from 2004 to 2006 was analyzed with no reliable detection resulting. The upper limits obtained in the 2005–2006 season covered several of the same epochs as the MAGIC Telescope detections, albeit with lower sensitivity. Upper limits are placed on emission during the orbital phases of 0→0.1 and 0.8→1, phases which are not included in the MAGIC data set.      

单波段单极化高分辨率SAR图像纹理分类研究

以2003年7月淮河洪水监测获取的高分辨率SAR图像为试验数据，首先对数据进行了分析，指出了高分辨率SAR图像的特点，之后通过小波变换对图像进行两层小波分解得到子图像，并在选择合适的能量计算窗口条件下，计算子图像的纹理能量，最后使用了BP神经网络方法进行纹理分类。研究结果表明，采用小波纹理分类方法对高分辨率SAR图像分类是可行的，可以获得高的分类精度，同时也指出了纹理分类的不足和进一步研究的方向。     

斜压海洋能量传递对风场的响应

风是海水运动的重要动力因素,也是海洋内部的主要能量来源.本文在应用陆架海洋模式HAMSOM对东中国海海水运动进行数值模拟的基础上,通过傅里叶变换、旋转谱分析等研究方法,对风向海洋的能量输运进行研究.研究结果显示,风场向海洋输运的最有效途径是风杨扰动量与流场扰动量的相互作用;惯性能量主要来源于海洋表层,由风场提供,向下传递;而潮频率能量大部分来自海底的内潮与底地形相互作用,向上传递.     

基于纠错编码的小波域自适应盲水印算法

提出了一种小波域自适应盲水印算法,并采用(7,4)汉明码技术进行纠错编码。以伪随机二值序列作为水印,采用中值系数抖动的方法将水印嵌入到小波变换后的低频分量,并且根据小波域系数间隔的大小自适应地确定水印量化步长,水印检测过程不需要原始图像的参与。实验结果表明,算法的自适应性强,具有较好的不可见性,且可以有效地抵抗JPEG压缩、锐化、加噪、模糊和缩放等攻击。     

快速数论变换的一种算法

本文构造了一种快速数论变换算法,该算法是一种以数论为基础,有效高速的数论变换算法,并且这种算法易于在计算机上实现。     

Multi-Time Scale Analysis of Runoff at the Yangtze Estuary Based on the Morlet Wavelet Transform Method

Runoff series of the Yangtze River presents an intricate variation tendency under the reinforced influence of human activities.The Morlet Wavelet Transform method has been applied to analyze the annual runoff data from 1950 to 2011 at the Yangtze River Estuary.It can clearly reveal the multi-time scales structure,break point,change and distribution of periodic variation in the different time scales of the runoff series.The main conclusions are that：1） Repeated periodic oscillations accompanied by an extremely large fluctuation are presented in the runoff series with an obvious difference between wet and dry years,and the major periods of the time series are about 3,8,16 and 23 years respectively.Among them,the presented maximum periodic oscillation is 23 years scale.2） In the 23-year time scale,the wet periods are 1950-1958,1969-1980 and 1992-2003,and the dry periods are 1959-1968,1981-1991 and 2004-2011.3） It can be predicted from the view of long time scales that the low annual runoff will likely occur in the near future.     

基于MRMRF的多光谱纹理影像分割方法

提出了一种新的基于多分辨率马尔可夫场(multiresolution Markov random field,MRMRF)模型的小波域多光谱纹理影像分割方法。该方法采用可变的权重参数连接小波分解的多尺度特征场和标记场,通过直接映射,将上一尺度的分割结果作为下一尺度的初始结果,最细尺度上的分割结果作为算法的最终分割结果。实验表明,本文算法能够降低多光谱纹理图像分割的错误率。     

用小波变换方法提取地下流体观测异常信息

首先对小波分析方法作了简单介绍,然后运用该方法,对1992～2002年上海地区9口水氡观测井的资料进行了6阶小波变换,提取的地震异常信息与实际地震有较好的对应关系;对1983年山东荷泽5.9级地震和1998河南清丰4.0级地震前聊古1井的氡观测资料进行了小波分析,发现1～6阶小波系数均出现异常;对1999年山东苍山5.2级地震前枣庄十里泉井的水汞观测资料进行了小波分析,发现1～6阶小波系数也出现异常.因此,运用小波分析方法可以有效地提取地震前兆异常信息.     

基于势函数点分布调整的SIFT图像配准算法

尺度不变特征转换(scale invariant feature transform,SIFT)是一种广泛应用于图像配准领域的点特征提取算法。针对基于SIFT的图像自动配准算法存在的特征点分布不均匀问题,提出了一种基于势函数点分布调整的图像配准方法。该方法解决了SIFT算法不能针对特征点的分布情况进行优化的问题。通过调整SIFT的比值阈值,增加配准点的数目;通过引入分子力学中的势函数概念,对特征点分布情况进行优化;通过局部互信息精纠正,微调特征点位置,以提高特征配准点的配准精度;最终实现高质量(空间分布均衡,配准精度高)的图像自动配准。