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Matlab
MATLAB线性优化问题MATLAB线性优化应用 实例1:生产计划问题 实例2:投资问题 实例3:运输问题(MATLAB linear optimization applications Example 1: production planning problem Example 2: Investment Example 3: transport
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- 2011-12-25 20:56:04下载
- 积分:1
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proje
MATLAB PROJECT TO SOLVE TRANSPORTATION
- 2010-06-09 00:23:01下载
- 积分:1
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matlab_classic_book
有关matlab较为基础的入门书籍。很适合初学者学习借鉴和使用。(For more matlab basic introductory books. It is suitable for beginners to learn and use.)
- 2013-07-24 21:28:45下载
- 积分:1
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gaijin-Burg
功率谱估计是分析随机信号的一种重要方法, 是信息学科的研究热点。文章介绍了现代功率谱估计中AR 模
型参数的几种典型求解算法, 并借助MATLAB 平台对各种算法的功率谱进行仿真。(The power spectrum estimation is an important method for analysis of random signals, information science research focus. The article describes several typical modern power spectrum estimation of AR model parameters algorithm with MATLAB platform to simulate the power spectrum of the various algorithms.)
- 2012-11-27 11:25:50下载
- 积分:1
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Matlab-windows
Matlab的窗函数_矩形窗_三角窗_汉明窗_汉宁窗_布莱克曼窗(The window of the Matlab function, rectangle, triangle window, hamming window and hanning window, blackman window)
- 2014-04-01 14:26:02下载
- 积分:1
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LDPC_C
C语言实现LDPC码的译码功能,带有完整的工程文件。(C language to achieve the LDPC code decoding function, with a complete project file.)
- 2020-11-23 16:59:34下载
- 积分:1
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easy
GPS学习最全的matlab程序,望大家学习交流(GPS to study the most complete matlab program, hope you learn from the exchange of)
- 2010-01-10 22:08:35下载
- 积分:1
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水印matlab程序
说明: 有多个文件 可以根据文件名和注释进行选择 提取算法可以根据嵌入算法 自行写出 提供了较好的抗压缩和抗剪切的效果(a number of documents under the file name and choose Notes extraction algorithm can write their own algorithms embedded mention for a better compression and anti-shear effect)
- 2006-01-11 11:23:42下载
- 积分:1
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PLS_NIR
对近红外光谱使用最小二乘算法建立预测模型(Use of Near Infrared Spectroscopy least squares algorithm to build prediction models)
- 2011-11-23 10:07:07下载
- 积分:1
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基于PCA的SVM分类
选择“BreastCancer”数据集,使用支持向量机(SVM)对其进行分类。作为对比,第一次对特征集直接进行支持向量机分类,第二次对特征集进行主成分分析法的特征提取后,再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)
- 2020-06-20 10:20:02下载
- 积分:1