Signal reconstruction code for matlab analysis
標簽： reconstruction analysis Signal matlab
上傳時間： 2014-01-02
上傳用戶：lixinxiang
Decomposition and reconstruction example 1
標簽： reconstruction Decomposition example and
上傳時間： 2014-01-18
上傳用戶：gmh1314
Matlab Code for Poisson Image reconstruction from Image Gradients
標簽： Image reconstruction Gradients Poisson
上傳時間： 2014-01-09
上傳用戶：zgu489
3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.
標簽： shape reconstruction technique defocus
上傳時間： 2014-01-07
上傳用戶：Zxcvbnm
3D shape reconstruction matlab code. It used shape from defocus technique with divergence. You can reconstruct 3D shape with only two different depth images.
標簽： shape reconstruction divergence technique
上傳時間： 2014-12-04
上傳用戶：hn891122
3D shape reconstruction matlab code. It used shape from defocus technique with diffusion. You can reconstruct 3D shape with only two different depth images.
標簽： shape reconstruction diffusion technique
上傳時間： 2014-11-03
上傳用戶：851197153
主要是研究這方面內容：Piecewise-Polynomial reconstruction
標簽： Piecewise-Polynomial reconstruction 方面
上傳時間： 2017-09-21
上傳用戶：Ants
Stereovision reconstruction using Triangulation and "Mire" Calibration. Implemented in Matlab language
標簽： reconstruction Triangulation Stereovision Calibration
上傳時間： 2014-01-14
上傳用戶：wangdean1101
We introduce a sub-cell WENO reconstruction method to evaluate spatial derivatives in the high-order ADER scheme. The basic idea in our reconstruction is to use only r stencils to reconstruct the point-wise values of solutions and spatial derivatives for the 2r-1 th order ADER scheme in one dimension, while in two dimensions, the dimension-by-dimension sub-cell reconstruction approach for spatial derivatives is employed. Compared with the original ADER scheme of Toro and Titarev (2002) [2] that uses the direct derivatives of reconstructed polynomials for solutions to evaluate spatial derivatives, our method not only reduces greatly the computational costs of the ADER scheme on a given mesh, but also avoids possible numerical oscillations near discontinuities, as demonstrated by a number of one- and two-dimensional numerical tests. All these tests show that the 5th-order ADER scheme based on our sub-cell reconstruction method achieves the desired accuracy, and is essentially non-oscillatory and computationally cheaper for problems with discontinuities.
標簽： 高精度格式
上傳時間： 2016-01-13
上傳用戶：ccsdcczd
暫時只支持jpeg2000支持的 cdf97 和spline53 可以這樣來測試： x=imread( E:\study\jpeg2000\images\lena.tif ) ％ see the decomposition coefficients y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y)) ％ see the reconstruction precision yy=wavelift(x, 5) using cdf 9/7 wavelet ix=wavelift(yy,-5) inverse sum(sum((double(x)-ix).^2))
標簽： 2000 imageslena studyjpeg imread
上傳時間： 2014-01-14
上傳用戶：懶龍1988
