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histogram
this was my homework in the lesson "digital image processing" it compares my histogram programm with the matlab s original function imhist. i uploaded whole the material but you can find it completely in "ö dev1 rg.docx" my whole homework.
- 2011-04-20 19:03:53下载
- 积分：1
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leach
leach simulation in matlab
- 2012-10-27 06:37:48下载
- 积分：1
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Segmentation-combining-of-GA-and-ANN
结合遗传算法与神经网络的图像分割,能得到分割结果的全局最优解,避免陷入局部最优.( Segmentation of image through the combining of genetic algorithm and neural network.)
- 2013-05-26 20:25:03下载
- 积分：1
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SIR_PF_test3
说明： 基本粒子滤波算法的实现, 同时包含了仿真测试案例(the basic particle filter algorithm, including a case study.)
- 2020-06-20 23:00:01下载
- 积分：1
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PocklingtonPulseSolution
MATLAB中实现天线运用波克林顿函数计算偶极子的程序(something abart 。。。。)
- 2010-08-23 17:38:45下载
- 积分：1
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AlgorithmCollectionsforDigitalSignalProcessingApp
DSPAlgorithms:Algorithm Collections for Digital Signal Processing Applications using Matlab .i think it will help the coders
- 2010-11-07 09:57:45下载
- 积分：1
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gui1
这个是关于在运行MATLAB gui过程当中会遇到的一些问题，以及她的一些解决方案(This is about the process of running the MATLAB gui some of the problems encountered, and some of her solutions)
- 2010-12-14 20:46:54下载
- 积分：1
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BD
说明： 基于分块对角化的预编码算法,包含计算误码率，编码，似然解码程序.(Block Diagonalization Based on pre-coding algorithm, including the calculation of error rate, coding, likelihood decoder.)
- 2011-03-28 16:23:48下载
- 积分：1
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Newton-interpolation
牛顿插值代码，用于数据插值，便于交流学习，适合学习matlab科学计算。(Newton interpolation code for data interpolation, to facilitate the exchange of learning, for learning matlab scientific computing.)
- 2013-12-31 10:32:05下载
- 积分：1
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SPGP_dist
这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of
test inputs. You need to supply a set of pseudo-inputs or basis
vectors for the approximation, and suitable hyperparameters for the
covariance. You can use any method you like for finding the
pseudo-inputs , with the simplest obviously being a random subset of
the data. It is coded for Gaussian covariance function, but you could
very easily alter this. It is also fine to use for high dimensional
data sets.
spgp_lik is the SPGP (negative) marginal likelihood and gradients
with respect to pseudo-inputs and hyperparameters. So you can use this
if you wish to try to optimize the positioning of pseudo-inputs and
find good hyperparameters, before using spgp_pred . I would recommend
initializing the pseudo-inputs on a random subset of the data, and
initializing the hyperparameters sensibly. Its current limitations are
that 1) it is slow and memory intensive for high dimensional data sets
2) it is heavi)
- 2021-05-13 07:30:02下载
- 积分：1
