在分析小海地区洪潮特性的基础上，应用二维水动力数学模型，研究小海洪水的产生及其影响因素，以及口门整治对小海洪水位的影响。研究表明，小海洪水位不仅受洪潮特性的影响，口门通道规模与洪水位的关系也很密切。

Two-dimensional hydrodynamic mathematical model is applied to study the generating and the influencing factors of Xi -aohai flood as well as the influence on Xiaohai flood water level after the tidal channel regulation on the basis of analyzing the charac -teristics of Xiaohai areas''flood tide characteristics .It is shown that Xiaohai flood level is not only affected by the flood tide charac-teristics but also affected by the tidal channel''s scale.

海杂波的奇异谱分析不仅能从理论上揭示海洋表面的动力学机理,同时也是对海探测雷达的关键技术之一.本文提出基于小波leaders的海杂波时变奇异谱分析方法,将时间信息引入海杂波的奇异谱分析之中,从而实现动态的解析描述海杂波随时间变化的奇异谱特性.在理论上,通过信号自身加窗,将时间信息引入传统的奇异谱(或称多重分形谱),实现了对海杂波时变奇异谱分布分析;在算法上,充分利用了小波leaders技术对于多种奇异性的提取能力(包括chirp奇异性和cusp奇异性),通过对时变奇异性指数和时变尺度函数的Legendre变换,实现对海杂波时变奇异谱分布的计算;在应用部分,采用经典的多重分形模型——随机小波序列(RWC)以及三级海态条件下连续波多普勒体制雷达海杂波进行仿真分析,实验结果表明:1)基于小波leaders的奇异谱分布能跟踪海杂波的时变尺度特性,有效展示其时变奇异性谱分布;2)算法具有较好的负矩特性和统计收敛性.该方法能为复杂非线性系统及随机多重分形信号分析提供参考.

Singularity spectrum analysis of sea clutter is the key technology of detecting radar for sea target, which can discover the dynamic mechanism of the sea surface theoretically. In this paper, based on wavelet leaders the time-varying singularity spectrum distribution of sea clutters is proposed, which introduces time information to the traditional singularity spectrum, and displays the time-varying characteristic of singularity spectrum analytically. In theory, by way of self-windowed fractal signal, we introduce the time information to the traditional singularity spectrum, and realize multifractal spectrum distribution of sea clutters. In algorithm, based on the wavelet leaders, we adapt the process of embodying chirp-type and cusp-type singularities, and obtain the time-varying singularity spectrum distribution of sea clutters by the Legendre transform of the time-varying scaling function. In practice, we analyze the classical multifractal model-random wavelet series and the real sea

研究了一种基于小波包变换的海杂波背景下的慢速小目标检测方法,并利用在实测海杂波数据中叠加慢速目标信号的方法对该检测方法进行了计算机仿真。仿真结果表明,与常规的动目标检测(MTD)方法相比,该方法能够以较高的检测能力对湮没在海杂波背景中的弱小目标信号进行检测。

This paper studies a kind of slow small target detection method based on wavelet-packet transform under sea clutter,and performs the computer simulation to the detection method by using the method that the slow target signal is added into the practical detection data of sea clutter.The simulation result shows that the method can detect the small target signal drowned in sea clutter background with better detection capability compared with general moving target detection（MTD） method.

为及时发现并判别光纤复合海底电缆的故障,文章提出一种基于多尺度小波分析的海缆故障检测与诊断新方法。该方法先利用布里渊光时域反射计测量海缆中光纤的布里渊散射频移,然后结合双阈值法对故障点进行检测和分析。对发生接地故障的数据,用阈值法进行诊断;对非接地故障,则选用coif2小波基进行8尺度小波分解。研究结论表明,利用小波分解高频系数尺度对空间距离的敏感性可有效诊断锚害和塑料护套局部放电引发的过热故障。同时,在分析海缆故障特点的基础上,通过建立海缆故障模拟数据验证了算法的有效性。

In order to timely discover and differentiate the faults in optical fiber composite submarine cables,a novel multi-scale wavelet analysis-based detecting and diagnosing method is proposed in this paper.By this method,the Brillouin scattering fre-quency shifts in submarine cable fibers are first measured by using a Brillouin optical time-domain reflectometer and then the fault spots are detected and analyzed by using the dual-threshold method.The grounded faults are diagnosed by using the threshold method,but the ungrounded faults are decomposed in 8 scale by using coif2 wavelet basis.The research results indi-cate that anchor damage and overheating faults caused by partial discharges in plastic sheath can be effectively diagnosed by u-sing the sensitivity of high frequency coefficient scale of wavelet decomposition to spatial distance.On the basis of analyzing the features of submarine cable faults,the effectiveness of this approach is verified by setting up the simulation data of subm

海州方言属于江淮方言中的通泰地区海伊小区,其中存在众多的吴方言词语。在《明清吴语词典》里,这些吴方言词语与海州方言词语在词性、词义方面差异不大。这种情况,是明初以来大量江浙人迁至海州地区与当地居民大杂居小聚居后产生的新方言景观。

Haizhou dialect is one of the dialects in Nantong and Taizhou between the Yangtze and Huaihe Rivers.It contains a large number of Wu dialect words,which are quite similar to those in the Haizhou di-alect in terms of their meanings and parts of speech.This results from the large-scale migration of people from Jiangsu and Zhejiang Provinces into this area in the early Ming Dynasty.These migrated people lived together with the local ones,resulting in the merge of dialects and creating the Wu dialect.