Description: This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising.
-This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B Platform: |
Size: 1406853 |
Author:张文国 |
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Description: This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising.
-This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B Platform: |
Size: 1406976 |
Author:张文国 |
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Description: matlab 应用数学工具箱的使用，包括概率统计、偏微分方程等。-matlab toolbox of applied mathematics, including probability and statistics, such as partial differential equations. Platform: |
Size: 3220480 |
Author:guo guo |
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Description: 多项式同伦延拓的matlab工具箱以及练习程序
是以下书籍的matlab代码：
Andrew J. Sommese and Charles W. Wampler, Numerical Solution of Systems of Polynomials Arising in Engineering and Science,World Scientific, 2005-Matlab programs to accompany the book:
Andrew J. Sommese and Charles W. Wampler,
Numerical Solution of Systems of Polynomials Arising in Engineering and Science,
World Scientific, 2005.
HomLab = a toolbox for polynomial homotopy continuation
Exercise = application m-files for exercises in Sommese & Wampler Platform: |
Size: 102400 |
Author:zihanhuang |
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Description: 给出了x(n)=A*a^n*cos(w*n+theta),A，a，w，theta均为实数，程序中给出了如何不同过matlab的自带工具箱求解其DTFT的过程-Given x (n) = A* a ^ n* cos (w* n+ theta), A, a, w, theta, are real numbers, the procedure given how different matlab comes toolbox for solving itsthe process of DTFT Platform: |
Size: 13312 |
Author:shujian |
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Description: Filter can be FIR or IIR.
- Filter type can be lowpass, highpass, bandpass, or bandstop.
- Direct methods or optimization ones can be used during the design procedure.
In order to learn how you can use this toolbox, please copy all the codes included in the "Dig_Filter" folder into the current directory of your Matlab and type "help Dig_Filter".
Note 1:
At the moment, because of copyright issues, I removed bfgs , dfp , and inex_lsearch optimization algorithms. So, in the case of designing IIR filters using optimization algorithm, Optimization_Method in the toolbox just can work via fminunc which is a Matlab function.
IMPORTANT NOTE:
In the case of designing IIR filters using optimization methods, Dig_Filter uses MATLAB functions bfgs, dfp, and inex_lsearch. These functions are part of the MATLAB support materials of the following textbook:
A. Antoniou and W.-S. Lu, "Practical Optimization: Algorithms and
Applications", Springer, 2007-Filter can be FIR or IIR.
- Filter type can be lowpass, highpass, bandpass, or bandstop.
- Direct methods or optimization ones can be used during the design procedure.
In order to learn how you can use this toolbox, please copy all the codes included in the "Dig_Filter" folder into the current directory of your Matlab and type "help Dig_Filter".
Note 1:
At the moment, because of copyright issues, I removed bfgs , dfp , and inex_lsearch optimization algorithms. So, in the case of designing IIR filters using optimization algorithm, Optimization_Method in the toolbox just can work via fminunc which is a Matlab function.
IMPORTANT NOTE:
In the case of designing IIR filters using optimization methods, Dig_Filter uses MATLAB functions bfgs, dfp, and inex_lsearch. These functions are part of the MATLAB support materials of the following textbook:
A. Antoniou and W.-S. Lu, "Practical Optimization: Algorithms and
Applications", Springer, 2007 Platform: |
Size: 11264 |
Author:anish |
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Description: Non-local means算法由A. Buades, B. Coll, J.M Morel提出。该算法的主要参考文献为：
A. Buades, B. Coll, J.M Morel,
A review of image denoising algorithms, with a new one ,
Multiscale Modeling and Simulation (SIAM interdisciplinary journal), Vol 4 (2), pp: 490-530, 2005.
这个工具箱以一种相当普遍的方式可以被matlab调用的C文件上实现这个算法。它允许执行传统的NL-means进行去噪（对黑白图像和彩色图像均适用）并且使用任意一组补丁执行去噪。
-The non-local means is an algorithm introduced by A. Buades, B. Coll, J.M Morel.
The main reference for the algorithm is
A. Buades, B. Coll, J.M Morel,
A review of image denoising algorithms, with a new one ,
Multiscale Modeling and Simulation (SIAM interdisciplinary journal), Vol 4 (2), pp: 490-530, 2005.
This toolbox implements the algorithm in a fairly general way in a C file that can be called Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. Platform: |
Size: 1828864 |
Author:沙天飞 |
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Description: matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法-Usage:
[W,H] = nmf(X,K,alg,maxiter,speak)
W: output matrix
H: output matrix
X: input matrix
K: number of components
alg: algorithm to use
maxiter: maximum number of iterations
speak: print to screen
Algorithms:
mm: Multiplicative updates method using euclidean distance measure.
cjlin: Projected gradient method
prob: Probabilistic non-negative matrix factorization.
als: Alternating least squares.
alsobs: Alternating least squares with optimal brain surgeon.
Demonstrations:
PET: NMF on a PET dataset
Text: NMF used on a three different datasets Email, medical, and CNN.
Algorithms
mm: Multiplicative update method using euclidean distance measure.
Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF.
cjlin: Alternative non-negative least squares using projected gradients.
Author: Chih-Je Platform: |
Size: 15746048 |
Author:沈猴子 |
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Description: kjkj jkaj kjlj jasofiu jojoa jlkj jkj j lkj klj jsfjoe oeuro jd jodiu ieu iueur dj oed fdfe ewe ewr wer t ret t w e Platform: |
Size: 106496 |
Author:manny1
|
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