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szxhclgpcx
数字信号处理书中的程序,程序序分别由FORTRAN语言和C语言编写.(Digital signal processing procedures for the book, the program sequence by the FORTRAN language and C language.)
- 2009-05-14 22:34:31下载
- 积分：1
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matlab
MATLAB图形系统
1、掌握利用MATLAB提供的图形函数来建立图形
2、理解MATLAB图形系统的概貌
(MATLAB graphics system)
- 2012-06-20 16:20:45下载
- 积分：1
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dmpyhMATLAB
matlab代码，多目标优化，遗传算法，主要是两个目标(matlab code, multi-objective optimization, genetic algorithms, mainly two objectives)
- 2013-04-15 09:24:31下载
- 积分：1
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DCSK
MATLAB对与dcsk的运用，dcsk系统信号调制和解调的仿真，性能分析。(MATLAB analysis of the use and dcsk, dcsk signal modulation and demodulation system simulation performance.)
- 2014-05-03 16:09:06下载
- 积分：1
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estreodimuno
Sampling matlab source
- 2010-06-05 17:20:45下载
- 积分：1
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BPF
Matlab GUI for bandpass filters
- 2010-09-24 22:27:48下载
- 积分：1
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sirt
联合迭代重建技术(SIRT)
实现了SIRT算法解决方程组迭代。(Simultaneous iterative reconstruction technique (SIRT) to achieve the SIRT iterative algorithm to solve the equations.)
- 2013-11-19 20:26:24下载
- 积分：1
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Unconstrained_optimization
说明： 压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)
- 2008-12-06 22:12:43下载
- 积分：1
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rgb2gray11
此程序可以实现批量将彩色图像转换为灰度图像，只需添加图像位置即可。(This program can batch convert color images to grayscale images, simply add the image location.)
- 2010-05-19 16:52:42下载
- 积分：1
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ELM
训练集/测试集产生
load spectra_data.mat
随机产生训练集和测试集
temp = randperm(size(NIR,1))
训练集——50个样本
P_train = NIR(temp(1:50),:)
T_train = octane(temp(1:50),:)
测试集——10个样本
P_test = NIR(temp(51:end),:)
T_test = octane(temp(51:end),:)
N = size(P_test,2)
数据归一化
( Training set/test set generation load spectra_data.mat randomly generated training set and test set temp = randperm (size (NIR, 1)) training set- 50 samples P_train = NIR (temp (1:50) ,:)' T_train = octane (temp (1:50 ),:)' test set- 10 samples P_test = NIR (temp (51: end ),:)' T_test = octane (temp (51 : end ),:)' N = size (P_test, 2) Data Normalization)
- 2011-05-21 16:45:51下载
- 积分：1
