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iead2-eser4
ekf continuous-discret
- 2010-09-07 16:41:37下载
- 积分：1
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MonteCarlo_Simulations_english
说明： 在mathworks公司上找到的很好的资料，内有ppt和完整的可运行程序。(Found on the company in mathworks good information and complete within the ppt can run the program.)
- 2011-03-09 16:46:42下载
- 积分：1
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importSTDF
Extracts contents of an STDF (Standard Test Data Format) file, per the STDF Specification V4
- 2010-05-20 01:18:23下载
- 积分：1
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ch2
MATLAB科学计算与工程分析源代码源程序1(MATLAB scientific computing and engineering analysis of the source code source 1)
- 2009-03-24 11:12:01下载
- 积分：1
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matlab-by-example.-programming
matlab by example. programming basics-elsevier (2013)
- 2015-01-17 21:17:05下载
- 积分：1
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qixiang
气象色谱波峰波谷检测，比较简单的方法，欢迎大家下载(Meteorological chromatographic peaks and valleys detection)
- 2013-11-15 14:12:21下载
- 积分：1
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K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
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Convolutional
卷积编码和译码全过程的MATLAB源代码，已通过实验(Convolutional coding and decoding of the entire process of MATLAB source code, has passed the experimental)
- 2009-04-13 11:54:48下载
- 积分：1
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GPS-INSmatlab
关于GPS/INS组合导航的matlab仿真程序 大家共同学习下(On GPS/INS Integrated Navigation System of the matlab simulation program to study under the common)
- 2010-01-10 22:13:38下载
- 积分：1
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matlab
这事我用巴特沃斯模拟的方法设计的数字低通，高通，带通滤波器，其中只有一小段(I used this method to design analog Butterworth digital low pass, high pass, band pass filter, which only a short)
- 2010-12-29 18:36:59下载
- 积分：1
