简单图mC4的点可区别Ⅴ-全染色

根据简单图的点可区别Ⅴ-全染色的概念及其染色方法,讨论m个阶为4的圈的顶点不交并的点可区别Ⅴ-全染色,并给出全色数及其证明.为进一步探讨其他简单图的点可区别Ⅴ-全染色提供了理论证据,丰富了图的点可区别Ⅴ-全染色的结果.     

化学氧化技术处理水体中抗生素的研究进展

由于抗生素的大量生产和过度使用,近年来在全球水体和土壤中被频繁检测到,这不仅对生态系统造成了危害,同时威胁着人类的健康.化学氧化技术可将抗生素分解成无毒或毒性较低的小分子物质,从而降低抗菌活性,并提高其可生化性和矿化率.针对水中抗生素的化学氧化处理,着重综述臭氧直接氧化及臭氧高级氧化、氯氧化、芬顿及类芬顿法这3类化学氧...     

可靠数据报协议通信模块的设计

为解决实时系统中进程间可靠、高效的通信问题,设计并实现了嵌入式系统中可靠数据报协议通信模块,最后给出与采用TCP协议的通信模块的对比测试分析及结果。     

一种新的多视角人脸跟踪算法

为了对复杂场景中的多视角旋转人脸进行精确跟踪,提出了一种基于子空间特征模型的多视角人脸跟踪算法.该算法根据不同的人脸姿态建立多个离线人脸模型并自动进行在线学习,同时,针对人脸跟踪提出了新的自适应粒子滤波框架,确定人脸状态.实验结果表明,该算法能够准确跟踪多视角变尺度人脸,并实时分辨人脸姿态,对人脸的旋转、尺度变化以及环境影响不敏感,具有很强的鲁棒性和精确性.     

Novel blind source separation algorithm using Gaussian mixture density function

The blind source separation (BSS) is an important task for numerous applications in signal processing, communications and array processing. But for many complex sources blind separation algorithms are not efficient because the probability distribution of the sources cannot be estimated accurately. So in this paper, to justify the ME(maximum enteropy) approach, the relation between the ME and the MMI(minimum mutual information) is elucidated first. Then a novel algorithm that uses Gaussian mixture density to approximate the probability distribution of the sources is presented based on the ME approach. The experiment of the BSS of ship-radiated noise demonstrates that the proposed algorithm is valid and efficient.     

Modulation classification based on spectrogram

1 .INTRODUCTIONThe ai mof modulation classification ( MC) is toiden-tifythe modulationtype[1]of a communicationsignal .It plays ani mportant rolein many cooperative or non-cooperative communication applications such as soft-ware radio,intelligent modem,andelectronic surveil-lance system[2].Inthe past ,such workrelied heavilyon human operators ,which becomesless practical dueto the increasing density of the frequency spectrumand the increasing complexity and diversity of themodulation type…     

A New Method of Color Edge Detection Based on Local Structure Analysis

Human＇s real life is within a colorful world. Compared to the gray images, color images contain more information and have better visual effects. In today＇s digital image processing, image segmentation is an important section for computers to ＂understand＂ images and edge detection is always one of the most important methods in the field of image segmentation. Edges in color images are considered as local discontinuities both in color and spatial domains. Despite the intensive study based on integration of single-channel edge detection results, and on vector space analysis, edge detection in color images remains as a challenging issue.     

基于多重分形模型的非高斯信号建模

在小波域中，研究了基于β分布、点集分布和β分布与点集分布的混合多重分形模型（β－MWM．pm-PWM和β－pmMWM）；运用相关性检测和多重分形奇异谱检验方法分析了这3种模型对实际的水声非高斯信号的逼近性能。探讨了非高斯信号的多重分形分布特性，将研究结果应用于水声噪声的分析中，发现其多重分形分 布与环境有密切的关系；应用于水声噪声的识别研究中，取得了较好的实验结果。     

喀斯特地区生态环境建设的重点领域及其对策

生态环境的恶化已严重影响喀斯特地区社会经济可持续发展和人民生活水平的提高。通过深入分析喀斯特地区生态环境的现状,有针对性地提出生态环境建设的重点领域及其防治对策,为实现区域可持续发展、建设和谐社会提供参考。     

基于独立成分分析的强背景噪声去噪方法

由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效，提出应用独立成分分析(ICA)方法对声音信号进行特征提取，并证明了这种ICA变换能增强语音和音乐信号的超高斯性．在此基础上，应用ICA基函数作为滤波器，通过阈值化的去噪方法对含有强高斯背景噪声的声音信号进行去噪仿真实验．结果表明，本方法明显优于传统的均值滤波和小波去噪方法，为强背景噪声下弱信号的检测提供了新的途径．