Description: 几何偏微分方程方法应用于曲线演化的一个小程序，这里是一个matlab的源程序，不是十分复杂，显示了一个哑铃形状的曲线演化的过程-geometric partial differential equations method has been applied to the evolution of the curve of a small program here is a source of Matlab, is not very complex, and shows a dumbbell-shaped curve of the evolutionary process Platform: |
Size: 1275 |
Author:贺静芳 |
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Description: 图像分割程序，采用水平集演化的思想，实现偏微分方程中的GAC模型。Image segment source code(GAC model),which adopt the idea of level set evolving.-Image segmentation procedures, the use of level set evolution of thought, the realization of partial differential equations of the GAC model. Image segment source code (GAC model), which adopt the idea of level set evolving. Platform: |
Size: 11264 |
Author:li_ya |
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Description: 图像分割是由图像处理到图像分析的关键步骤，涉及到计算机视觉技术的复杂问题。在医学图像方面，许多应用大都依赖于对图像中目标轮廓的准确提取。基于微分算子检测的方法几乎都对噪声较为敏感且不能保证得到连续的边缘，无法用于辨识和分析目标。由Kass提出的基于主动轮廓线的Snake模型[1]，用一个具有一定弹性的封闭曲线，在曲线自身形状约束力和由图像数据计算而来的外部力的共同作用下演化，来逼近目标边界，完成对图像的分割。
GVF snake VC++做的-Image segmentation by image processing to image analysis of the key steps involved in computer vision technology to complex problems. In medical images, many applications largely depends on the target images extracted contour accuracy. Based on the differential operator method of detecting almost all more sensitive to noise and can not guarantee that they will get straight edge, can not be used for target identification and analysis. Kass raised by the active contour based on the Snake model [1], with a certain flexibility of the closed curve in the curve shape their own binding and calculated by the image data from the external force under the joint effect of the evolution of the boundary to approximate the target , completion of the image segmentation. GVF snake VC++ Make the Platform: |
Size: 149504 |
Author:happynp |
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Description: EM@matlab是一个有限元工具包，适用于静力和偏微分方程的演变-AFEM@matlab is a MATLAB package of adaptive finite element methods
(AFEMs) for stationary and evolution partial differential
equations in two spatial dimensions Platform: |
Size: 273408 |
Author:晁忠贵 |
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Description: In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less. Platform: |
Size: 3072 |
Author:hazhiriq200 |
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Description: 在3GPP系统中，初始小区搜索包含两步，这两步要用到主同步信号和辅同步信号。这篇文章介绍了一种辅同步信号检测的方法。-In 3GPP Long Term Evolution (LTE) system,initial cell search procedure comprises two steps using primary
synchronization signal (PSS) and secondary synchronization
signal (SSS). This paper presents SSS detection method for
second step of initial cell search. In general, coherent detection
using estimated channel frequency response (CFR) at PSS is
used for SSS detection, but performance degradation is occurred
by difference of channel between PSS and SSS in time division
duplex (TDD) mode. Thus we propose non-coherent detection
using partial correlation and differential correlation. Moreover,
we consider cyclic-prefix (CP) detection algorithm that uses CP
and its repetition part of data symbol, and we investigate
influence of CP detection in SSS detection process. Platform: |
Size: 367616 |
Author:陈伟 |
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Description: 对一个具有多目标的图像进行分割，对函数进行MATLAB定义，并设定相应的时间、空间步长，在演化过程中，对水平集的计算采用二阶基本无震荡差分格式，新初始化函数采用一阶基本无震荡差分格式，迭代时水平集每更新10次重新初始化水平集一次。这样，我们基本可以将简单的多目标图像进行分割。
-Split the image of a multi-objective function defined in MATLAB, and set the appropriate time, space step in the evolution
Process, the second-order calculation of the level set of basic shock differential format, a new initialization function using the first order shock differential format, Diego
The level set when the generation of updated 10 times to re-initialize the level set. In this way, we can basically a simple multi-objective image segmentation. Platform: |
Size: 768000 |
Author:刘玉婷 |
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Description: 对一个具有多目标的图像进行分割。对函数进行MATLAB定义，并设定相应的时间、空间步长。在演化过程中，对水平集的计算采用二阶基本无震荡差分格式，新初始化函数采用一阶基本无震荡差分格式。
-A target image segmentation. MATLAB definition, function, and set the appropriate time and space steps. The second-order calculation of the level set in the process of evolution, the basic shock differential format, a new initialization function using the first order shock-free differential format. Platform: |
Size: 294912 |
Author:刘玉婷 |
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Description: 水平集图像处理入门，偏微分方程，曲线演化理论-Introduction to image processing, the level set of partial differential equations, curve evolution theory Platform: |
Size: 101376 |
Author:李豪 |
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Description: 当红外图像中包含较强噪声时, C-V 模型水平集分割方法会产生大量冗余轮廓 同时, C-V 水平集采用偏
微分方程( PDE) 实现, 存在计算量大、分割速度慢的缺点。为此, 本文提出了改进的快速算法, 该算法保留了C-V
模型的全局优化特性, 并通过窗口滤波整合图像邻域空间信息来构建曲线进化的外部速度, 从而提高C-V 模型
的抗噪性并减少分割中产生的冗余轮廓 采用基于双链表的快速水平集算法来实现曲线的演化, 去除了传统算
法中的重新初始化和PDE 求解的过程, 减少了迭代步数, 提高了分割的速度-Infrared image contains strong noise the CV model level set segmentation method will produce a large number of redundant outline CV level set partial differential equation (PDE), there are computationally intensive, split the shortcomings of slow. To this end, the paper proposes an improved fast algorithm, the algorithm retains the global optimization CV model and the integration of spatial information of image neighborhood filtered through the window to build the external speed curve evolution, thereby enhancing the noise immunity of the CV model and reduce redundant contour segmentation evolution of the curve to achieve fast level set algorithm based on the double-linked list, in addition to re-initialize the traditional algorithms and PDE solving process, reduce the number of iterations, to improve the segmentation speed Platform: |
Size: 855040 |
Author:jim |
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Description: 关于SFS算法的介绍，介绍了近些年来SFS方法的发展现状，将SFS算法划分为四种类型：演化和偏微分方程(PDE)方法、最优化方法、局部化方法以及线性化方法。同时，分析了各种SFS算法的特点，并对SFS技术的进一步发展趋势进行了展望。-Introductions of SFS algorithm, this paper introduces the development status of SFS method in recent years, the SFS algorithm is divided into four types: evolution and partial differential equation (PDE) method, the optimization method, the localization method and linear method. At the same time, analyzed the various characteristics of SFS algorithm, and the further development of the technology of SFS trend is prospected. Platform: |
Size: 534528 |
Author:qirong |
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Description: 水平集是跟踪轮廓和表面运动的一种数字化方法。不直接对轮廓进行操作，而是将轮廓
设置成一个高维函数的零水平集，这个高维函数叫做水平集函数：Ψ(X,t) 。然后水平集函数
运动成为一个微分方程。在任何时候，通过从输出中提取零水平集 (( ), ) { ( , ) 0} Xt Xt Γ =Ψ = 来
得到运动的轮廓。使用水平集的主要优点是可以对任何复杂的结构进行模式化和拓扑变换，
比如暗中操作融合和分离。-The paradigm of the level
set is that it is a numeri-cal method for tracking the
evolution of contours and
surfaces. Instead of ma-nipulating the contour di-rectly, the contour is embed-ded as the zero level set of a higher dimensional function called the level-set function,ψ(X,t). The level-set func-tion is then evolved under the control of a differential
equation. At any time, the
evolving contour can be ob-tained by extracting the zero
level-set Γ((X),t) ={ψ(X,t) =0}from the output. The main advantages of using level sets is that arbitrarily complex shapes can be modeled and topological changes such as merging and splitting are handled implicitly. Platform: |
Size: 8192 |
Author:张涛 |
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Description: 利用差分分组的协同进化算法，适合大规模优化算法，C语言实现-Cooperative Co-evolution with Differential Grouping for Large Scale Optimization Platform: |
Size: 35840 |
Author:Steve Park |
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Description: 本资料关于分数阶微积分概念的起源和演化以及分数阶微积分的若干理论及其应用还有就是微积分的级数展开式-The information about the origin and evolution of the concept of fractional order calculus and several theories and applications of fractional order calculus and differential and integral calculus of series expansions Platform: |
Size: 3172352 |
Author:翔子 |
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Description: ：LTE(Long Term Evolution，长期演进)系统中的小区初始搜索过程通过分别检测主同步信号(Primary Synchronization Signal，PSS)和辅同步信号(Secondary Synchronization Signal，SSS)来完成，搜
索结果包括小区组ID、符号定时、频偏估计、组内小区ID以及帧定时[1]。然而，若接收信号 1IDN 2IDN
中存在整数倍频偏，则由于时域的相位旋转，主同步信号将很难用传统的相关算法检测到。提出一种主同步信号与整数倍频偏联合检测的方法，即使存在整数倍频偏，也能得到正确的符号定时。辅同步信号采用的是非相干的差分相关检测[2]，仿真表明，与传统的匹配滤波算法相比，可以有效的对抗信道时延扩展和载波频偏，适用于高速场景下时分双工(Time Division Duplex，TDD)LTE系统的同步。-In LTE systems, the initial cell search process is completed by detecting the primary synchroniza-tion signal and the secondary synchronization signal. The searching results include cell ID group, symbol timing, frequency offset estimation, intra group cell ID and frame timing[1]. However, if integer frequency offset presents in the received signal, due to time-domain phase rotation, the primary synchronization signal will be difficult to detected using the conventional correlation algorithm. A new joint detection method for integer frequency offset and primary synchronization signal is proposed, which can get the correct symbol timing even if the presence of integer frequency offset. Secondary synchronization signal is processed using the differential non-coherent correlation detection method[2]. Simulations show that compared with the tradi-tional matched filtering algorithms, it can effectively combat the channel delay spread and carrier frequency offset and especially suitable for Platform: |
Size: 257024 |
Author:imc_lte |
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Description: Ultrasound images are difficult candidates for shape
recovery because of low signal/noise ratio which greatly
reduces the observable details within such images.
Recently several methods based on evolution of partial
differential equations Platform: |
Size: 1229824 |
Author:杨松 |
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Search - Differential Evolution