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Description: We rigorously analyze the dispersion function and the curvature of the dispersion surface of a photonic
crystal to explore the fundamental limit of its angular sensitivities. With insight gained from group theory, we
fi nd that symmetry induced degeneracy gives rise to a singular dispersion surface curvature and a nonvanishing
group velocity simultaneously. Near such a singularity, high angular sensitivities can be achieved at low optical
loss. This phenomenon exists generally in most common two-dimensional and three-dimensional photonic
crystal lattices, although it occurs only for certain photonic bands as dictated by symmetry. -We rigorously analyze the dispersion function and the curvature of the dispersion surface of a photoniccrystal to explore the fundamental limit of its angular sensitivities. With insight gained from group theory, we
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Author: Qtai |
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Description: 小波模极大值原理在图像边缘提取和信号奇异点检测中的应用-Wavelet Modulus Maxima Principle in Image Edge Detection and signal singularity detection
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Author: 张乐 |
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Description: Mallat多尺度小波变换图像边缘检测经典文章两篇。Characterization of Signals from Multiscale Edges，Singularity Detection and Processing with Wavelets-Mallat multi-scale wavelet transform image edge detection classic article 2. Characterization of Signals from Multiscale Edges, Singularity Detection and Processing with Wavelets
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Author: 陈勇 |
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Description: 介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的
空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals.
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Author: singro jiang |
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Description: 小波模极大值原理在图像边缘提取和信号奇异点检测中的应用-Wavelet Modulus Maxima Principle in Image Edge Detection and Signal Singularity Detection
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Size: 3072 |
Author: rizhaoyueguang |
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Description: 盲源分离算法的几篇文章应用
【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entropy and Blind Source Separation Method】 【based on wavelet denoising and blind source separation of signal singularity Detection】
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Author: Hekate |
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Description: 自定义信号，用于梯形边界奇异点检测matlab代码， 和三个小波去噪分解的代码-Custom signal singularity detection for trapezoidal matlab code boundary, and three wavelet denoising decomposition code
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Size: 1024 |
Author: 张颖琪 |
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Description: 小波变换是近年来发展起来的一门新的数学分支
它适宜于分析研究信号的局部性质, 对
于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image data compression, singularity detection, non-convolution type operator interpolation theorems simplify and sampling, etc. should have a significant
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Author: 彩虹 |
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Description: 小波变换是近年来发展起来的一门新的数学分支
它适宜于分析研究信号的局部性质, 对
于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image data compression, singularity detection, non-convolution type operator interpolation theorems simplify and sampling, etc. should have a significant
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Author: 彩虹 |
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Description: Matlab小波变换对于奇异点的检测，原始信号是含有奇异点的信号，为确定该奇异点的时间，采用haar小波进行连续小波变换后，在对系数进行分析处理。-Matlab wavelet transform to singular point detection, the original signal is containing the singularity of the signal, to determine the singular point time, adopting haar wavelet to continuous wavelet transform, the coefficients in analysis processing.
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Author: 赵无棣 |
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Description: 该文介绍了小波变换及其用于信号奇异性检测的基本原理, 重点研究了信号奇异性检测中小波基( 又称母小波) 及尺度
的选择问题, 提出了规则性系数相似法, 即根据相似性, 可以用平滑的小波, 即规则性系数大的小波表示平滑的函数 用不平
滑的小波, 即规则性系数小的小波表示非平滑的函数。同时针对天然气管道泄漏检测这一具体的工程实例, 采用该方法对
管道发生微小泄漏时所产生的缓变信号进行了分析, 仿真实验验证了该方法的有效性和适用性。-Study on Choosing Mother Wavelet for Signal Singularity Detection Based on MATLAB
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Author: Peng |
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Description: 首先给出了谐波小波时频剖面图检测含噪声信号的微弱奇异成分的方法 然后运用谐波小波时频剖面图方
法分析了碰摩故障仿真信号 最后利用该方法对多个实际汽轮机组动静碰摩故障的真实振动信号进行了分析研
究。结果表明, 谐波小波能够得到其它信号分析方法无法得到的特征, 有效识别机组的碰摩故障。-Harmonic wavelet time frequency profile plot is introduced firstly in practice to identify weak singularity
in a signal with noise clearly. With this method, emulational signal and vibration data of the rubbing of the large practical
turbo-generator units are analyzed successfully, which prove that the method is effectively extract the rubb ing signal feature.
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Author: Peng |
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Description: 本文研究的是利用奇异性指数实现对设备状态监视和故障预警功能。首先用LabVIEW 采集传感器电信号，然后对采集到的电信
号进行小波变换得到信号包络奇异点的奇异性指数，即设备运行状态的特征值-In this research project, we use LabVIEW to do wavelet-transformation to the signal collected by sensors in order to get singularity
index from the singular points of the particular signal’s envelope. Through comparing this eigenvalue to the figures in a standard database, we can
know the functional status of the instruments. Not only the diagnoses are continuously displayed, but alarms about signs of dysfunction will also be
raised in a proper way. In other words, both the supervision of the instrument and warning of dysfunction can be achieved
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Author: whb |
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Description: 对信号的奇异性检测.检测第一类间断点matlab中的一个一维信号（freqbrk.dat）含有突变点，对其进行检测-Singularity detection of signal detection of the first class discontinuity points matlab in a one-dimensional signal (freqbrk.dat) containing the mutation point, its detection
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Author: 车队 |
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Description: 基于二分递推SVD的信号奇异性位置精确检测Based on the two points of recursive SVD signal singularity accurate position detection-Based on the two points of recursive SVD signal singularity accurate position detection
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Author: wps678 |
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Description: matlab利用小波模极大值法实现信号的奇异性检测-Signal singularity detection in Matlab
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Author: tang jin hua |
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Description: The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix S,? in Linear Discriminant Analysis (LDA). Dijjrent methods have been proposed la
solve this problem in face recognition literature. Some methods reduce the dimension of the original sample space and hence unavoidably remove the null space of which has been demonstrated to contain considerable
discriminative information whereas other methods suffer from the computational problem. In this paper, we propose a new method to make use of the null space of s,eflectively and solve the small sample size problem of LDA. We compare our method with several well-known methods. and demonstrate the eficiency of our method-The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix S,? in Linear Discriminant Analysis (LDA). Dijjrent methods have been proposed la
solve this problem in face recognition literature. Some methods reduce the dimension of the original sample space and hence unavoidably remove the null space of which has been demonstrated to contain considerable
discriminative information whereas other methods suffer from the computational problem. In this paper, we propose a new method to make use of the null space of s,eflectively and solve the small sample size problem of LDA. We compare our method with several well-known methods. and demonstrate the eficiency of our method
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Author: Hung Truong |
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Description: 可转债论文，研究定价，模型，方法，赎回，回售等-This thesis is devoted to evaluating two-factor convertible bonds. Di® erent zero-
coupon bond curves are inputted when evaluating convertible bonds issued by com-
panies with di® erent credit ratings. Thus the e® ect of the company s credit on the
price of the convertible bond is easily and accurately included during the computa-
tion. In the model for the interest rate, the parameters in the variance are determined
from the market data by statistics and the market price of risk is determined by a
zero-coupon bond curve through solving an inverse problem. When we price the con-
vertible bond, a free-boundary problem is solved. A Singularity-Separating Method
(SSM) is proposed in order to solve this problem e±ciently. Taking the market data
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Author: xj |
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Description: 介绍信号奇异性的lipschitz意义，很有用的一篇PDF，很适合初学者学习用-Introduction the signal singularity lipschitz significance, useful article PDF, it is suitable for beginners to learn to use
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Author: 孟德元 |
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Description: 设计了一个新的基于小波变换的信号奇异点分步检测法，该方法的特点是根据脉冲奇异点和阶跃奇异点的不同特征分两步从信号中提取奇异点-Design a new step detection method based on wavelet transform signal singularity points, the method of characteristics is extracted from the signal in two steps according to the different characteristics of the pulse singular point and step singular point singular point
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Author: forevr |
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