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adapQuad
迭代自适应Simpson，Lobatto积分
In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.
We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)
- 2008-08-14 22:44:04下载
- 积分：1
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CompressiveSensing_OMP
关于压缩感知中算法重构做得仿真，供参考。(Compressed sensing reconstruction algorithm for the simulation done for reference.)
- 2011-11-17 08:49:10下载
- 积分：1
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conjgrad
Conjugate Gradient Method
by Yi Cao
- 2014-02-07 02:58:49下载
- 积分：1
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bianhuan
对给定图像裁剪为384×384，对其分别进行傅立叶等变换 。。。——bianhuan.m(For a given image cut to 384 × 384, so its Fourier transform respectively. . .- Bianhuan. M)
- 2010-07-19 10:21:49下载
- 积分：1
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ofdmmatlab5
ofdm系统MATLAB仿真源代码。
ofdm系统MATLAB仿真源代码。(MATLAB simulation ofdm system source code.)
- 2009-04-07 19:54:22下载
- 积分：1
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integerwavwlettransformdecomposition
wvelet trasnform decomposition of images
- 2010-11-04 12:31:17下载
- 积分：1
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comm_deltamod
you can take more information about CRN
- 2012-05-26 01:13:26下载
- 积分：1
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finitdif
This program computes finite difference formulas of general order.
- 2012-08-19 21:02:43下载
- 积分：1
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EEMD-EnergyOperator
说明： 使用EEMD对故障信号进行分解，提取不同imf的能量熵，有数据可直接运行。(EEMD is used to decompose the fault signals, extract the energy entropy of different IMF, and the data can be operated directly.)
- 2021-03-02 19:09:33下载
- 积分：1
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1
说明： 极限学习机是由黄广斌在2005年作为一种新的单隐层前馈神经网络提出的，具有与神经网络（NN）相同的全局逼近性质，且其参数学习无需迭代，速度明显快于现有的神经网络。目前在岩性识别、LF终点温度软测量、穿孔机导盘转速测量、软测量建模、图像识别等方面有所应用，但将其用于图像分割中的应用还较少。(Limit learning machine was proposed by Huang guangbin as a new single hidden layer feedforward neural network in 2005. It has the same global approximation property as neural network (NN), and its parameter learning does not need iteration, and its speed is significantly faster than the existing neural network. At present, it has some applications in lithology identification, lf terminal temperature soft measurement, perforator guide plate speed measurement, soft measurement modeling, image recognition and so on, but its application in image segmentation is less.)
- 2020-04-01 17:58:24下载
- 积分：1
