Search - discontinuities

[Other] cross

Description: 微带不连续性FDTD仿真，建模、S参数提取、自己导出数据画图-Microstrip discontinuities FDTD simulation, modeling, S parameter extraction, export data to draw their own
Platform: | Size: 6144 | Author: | Hits:

Description: Demo-z1 (Phase Unwrapping) Interferogram Z-step with known discontinuities Demo-zp2 (Absolute Phase Estimation Demo-zp2 (Absolute Phase Estimation Demo-zp3 (Absolute Phase Estimation – cont.) -Demo-z1 (Phase Unwrapping) InterferogramZ-step with knowndiscontinuitiesDemo-zp2 (Absolute Phase EstimationDemo-zp2 (Absolute Phase EstimationDemo-zp3 (Absolute Phase Estimation- cont.)
Platform: | Size: 544768 | Author: 类坐困 | Hits:

[Other] optical_flow

Description: 15篇光流配准经典文献，目录如下： 1、A Local Approach for Robust Optical Flow Estimation under Varying 2、A New Method for Computing Optical Flow 3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms 4、all about direct methods 5、An Introduction to OpenCV and Optical Flow 6、Bayesian Real-time Optical Flow 7、Color Optical Flow 8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network 9、Computing optical flow with physical models of brightness Variation 10、Dense estimation and object-based segmentation of the optical flow with robust techniques 11、Example Goal Standard methods Our solution Optical flow under 12、Exploiting Discontinuities in Optical Flow 13、Optical flow for Validating Medical Image Registration 14、Tutorial Computing 2D and 3D Optical Flow.pdf 15、The computation of optical flow -15 light流配quasi-classical literature, the directory is as follows: 1, A Local Approach for Robust Optical Flow Estimation under Varying2, A New Method for Computing Optical Flow3, Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms4, all about direct methods5, An Introduction to OpenCV and Optical Flow6, Bayesian Real-time Optical Flow7, Color Optical Flow8, Computation of Smooth Optical Flow in a Feedback Connected Analog Network9, Computing optical flow with physical models of brightness Variation10, Dense estimation and object-based segmentation of the optical flow with robust techniques11, Example Goal Standard methods Our solution Optical flow under12, Exploiting Discontinuities in Optical Flow13, Optical flow for Validating Medical Image Registration14, Tutorial Computing 2D and 3D Optical Flow.pdf15, The computation of optical flow
Platform: | Size: 14508032 | Author: zhangji | Hits:

[Graph program] depth_discontinuities_by_pixel-to-pixel_stereo

Description: depth discontinuities by pixel-to-pixel stereo.pdf,一种逆序的匹配算法.opencv中有实现-depth discontinuities by pixel-to-pixel stereo
Platform: | Size: 968704 | Author: 彪仔 | Hits:

[Delphi/CppBuilder] Project1

Description: Discontinuity: three basic-types of gray-level discontinuities Point Lines Edges The most common way to look for discontinuities is to run a mask through the image.
Platform: | Size: 2048 | Author: riyadh | Hits:

[2D Graphic] Vector_Diagram

Description: Script originally intended for use in oceanography/fluid dynamics. Use: >> ipdv(X,Y) (0,0) default initial position or >> ipdv(X,Y,Xo,Yo) (Xo,Yo) initial position 2D vector components (X,Y) are used to plot the vectors one after another, i.e., next vector starting at the end of the previous one (via Matlab s quiver.m ). This function handles NANs (Not-A-Number) by putting Zeros in their place, thus allowing the Matlab cumsum.m function to compute the progressive positions (Matlab function cumsum.m doesn t skip Nans). NaNs produce discontinuities in the graphic.-Script originally intended for use in oceanography/fluid dynamics. Use: >> ipdv(X,Y) (0,0) default initial position or >> ipdv(X,Y,Xo,Yo) (Xo,Yo) initial position 2D vector components (X,Y) are used to plot the vectors one after another, i.e., next vector starting at the end of the previous one (via Matlab s quiver.m ). This function handles NANs (Not-A-Number) by putting Zeros in their place, thus allowing the Matlab cumsum.m function to compute the progressive positions (Matlab function cumsum.m doesn t skip Nans). NaNs produce discontinuities in the graphic.
Platform: | Size: 2048 | Author: djimy | Hits:

[Software Engineering] HW1

Description: The Gibbs phenomenon is an overshoot (or "ringing") of Fourier series and other eigenfunction series occurring at simple discontinuities.-This file includes matlab source for Gibbs phenomenon and also includes explanation report
Platform: | Size: 197632 | Author: linhu | Hits:

[Documents] wavelets

Description: an introduction to wavelets -Wavelets are mathematical functions that cut up data into di® erent frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes. Wavelets were developed independently in the ¯ elds of mathematics, quantum physics, electrical engineering, and seismic geology. Interchanges between these ¯ elds during the last ten years have led to many new wavelet applications such as image compression, turbulence, human vision, radar, and earthquake prediction. This paper introduces wavelets to the interested technical person outside of the digital signal processing ¯ eld. I describe the history of wavelets beginning with Fourier, compare wavelet transforms with Fourier transforms, state properties and other special aspects of wavelets, and ¯ nish with some interesting applications such as image comp
Platform: | Size: 345088 | Author: same | Hits:

[matlab] samples

Description: Genetic Algorithm for function maximization. Especially useful for functions with kinks and discontinuities, and where a good "starting point" is unavailable.
Platform: | Size: 63488 | Author: atkoulack | Hits:

[SCM] s35_15

Description: Microstrip junctions are most widely used building elements of microwave integrated circuits. Serve to connect microstrip devices, divide, or combine power, those elements represent simple microstrip discontinuities characterized by appropriate scattering matrices. Based on the knowledge of frequency-dependent parameters of circuit elements and junctions connecting these elements, large microwave devices can be easily analyzed by the circuit theory. That is why the accurate modeling basic microstrip junctions in terms of S matrix elements is a problem of great importance for modern microwave CAD.
Platform: | Size: 262144 | Author: MISA | Hits:

[Special Effects] Various_EdgeDetection

Description: Edge detection refers to the process of identifying and locating sharp discontinuities in an image. The discontinuities are abrupt changes in pixel intensity which characterize boundaries of objects in a scene. Classical methods of edge detection involve convolving the image with an operator (a 2-D filter), which is constructed to be sensitive to large gradients in the image while returning values of zero in uniform regions. There is an extremely large number of edge detection operators available, each designed to be sensitive to certain types of edges. Variables involved in the selection of an edge detection operator include:
Platform: | Size: 438272 | Author: Image | Hits:

[Software Engineering] soft-barron-s60

Description: Coefficients a and b control the low and high frequency ranges that the watermark affects. Because of the watermark invariant properties, we embed the watermark only in the Fourier descriptor magnitude. We use the inverse Fourier transform of the Fourier coefficients to produce the watermarked curve L . This watermarking method is also applicable in the control points of B-spline contour representations. In both polygonal curves and in B-spline curves, watermark embedding can create curve discontinuities or curve self-crossing.
Platform: | Size: 265216 | Author: Mr Leo | Hits:

[Linux-Unix] weno5

Description: Essentially non-oscillatory (ENO) and Weighted ENO (WENO) are finite difference or finite volume schemes. The first ENO scheme is constructed by Harten et. al. in 1987. The first WENO scheme is constructed in 1994 by Liu,Osher and Chan for a third order finite volume version. In 1996, third and fifth order finite difference WENO schemes in multi space dimensions are constructed by Jiang and Shu, with a general framework for the design of smoothness indicators and nonlinear weights. A key idea in WENO schemes is a linear combination of lower order fluxes or reconstruction to obtain a higher order approximation. Both ENO and WENO schemes use the idea of adaptive stencils to automatically achieve high order accuracy and non-oscillatory property near discontinuities. or the system case, WENO schemes based on local characteristic decompositions and flux splitting to avoid spurious oscillatory.-Essentially non-oscillatory (ENO) and Weighted ENO (WENO) are finite difference or finite volume schemes. The first ENO scheme is constructed by Harten et. al. in 1987. The first WENO scheme is constructed in 1994 by Liu,Osher and Chan for a third order finite volume version. In 1996, third and fifth order finite difference WENO schemes in multi space dimensions are constructed by Jiang and Shu, with a general framework for the design of smoothness indicators and nonlinear weights. A key idea in WENO schemes is a linear combination of lower order fluxes or reconstruction to obtain a higher order approximation. Both ENO and WENO schemes use the idea of adaptive stencils to automatically achieve high order accuracy and non-oscillatory property near discontinuities. or the system case, WENO schemes based on local characteristic decompositions and flux splitting to avoid spurious oscillatory.
Platform: | Size: 4096 | Author: ns2d | Hits:

[Special Effects] multicontourlet-project-phase-1

Description: MCT is composed of two-stage filter banks similar to that of the contourlet transform (CT) [8]. The first stage filter banks implement multiwavelet decomposition, which capture the point singularity effectively, in contrast to the Laplacian pyramid used in CT. The second stage filter banks are DFBs that link the point discontinuities into linear structures. The implementation of MCT can be concluded as follows: 1) Prefilter the input images 2) applyMWT to the prefiltered images -MCT is composed of two-stage filter banks similar to that of the contourlet transform (CT) [8]. The first stage filter banks implement multiwavelet decomposition, which capture the point singularity effectively, in contrast to the Laplacian pyramid used in CT. The second stage filter banks are DFBs that link the point discontinuities into linear structures. The implementation of MCT can be concluded as follows: 1) Prefilter the input images 2) applyMWT to the prefiltered images
Platform: | Size: 23552 | Author: velusamy | Hits:

[File Format] Modeling--crack-growth-wiht-XFEM

Description: 一篇文章，关于XFEM的基本理论知识、方法和代码，值得-The extended finite element method (X-FEM) is a numerical method for modeling strong (displacement) as well as weak (strain) discontinuities within a standard finite element framework.We place particular emphasis on the design of a computer code to enable the modeling of discontinuous phenomena within a finite element framework.
Platform: | Size: 405504 | Author: 任红云 | Hits:

[Special Effects] M_segmentation_tree

Description: 分割树的实现（1.4版本） ============================================== 这个软件包包含MATLAB实现了低层次多尺度 [1]中描述的分层分割算法。介绍 ------------ 低级别的图像分割的目标是检测到的所有图像区域不论其形状，大小和内部同质化的水平。在这里，地区被建模为一个斜坡边缘包围的像素连通集这些不连续的幅度较大相比，连续性区域内的变化。-Segmentation Tree Implementation (version 1.4) ============================================== This package contains a MATLAB implementation of the low-level multiscale hierarchical segmentation algorithm described in [1]. Introduction ------------ The goal of low-level image segmentation is to detect all image regions regardless of their shapes, sizes, and levels of interior homogeneity. Here, a region is modeled as a connected set of pixels that is surrounded by ramp edge discontinuities where the magnitude of these discontinuities is large compared to the variation inside the region.
Platform: | Size: 165888 | Author: jjdjjf | Hits:

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