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stimulationofqpsk
实现DQPSK信号调制解调功能，并给出了详细的matlab仿真结果(The realization of DQPSK signal modulation and demodulation functions, and gives a detailed matlab simulation results)
- 2008-04-29 10:28:54下载
- 积分：1
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QAM16
16qamMATLAB环境下16QAM调制及解调仿真程序说明(16qamMATLAB environment 16QAM modulation and demodulation simulation program description)
- 2011-10-29 21:13:32下载
- 积分：1
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matlab(MO--FANG)
Matlab模仿程序源代码，实现模仿游戏(Matlab imitate program source code, imitation game)
- 2015-01-13 22:14:34下载
- 积分：1
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beibaowenti
用matlab编程解决背包问题 可以运行 收敛效果好 附图(Solve the knapsack problem with the matlab programming convergence effect can run photos)
- 2010-12-06 16:39:25下载
- 积分：1
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wirelessSlidesCh05
Some useful wireless communication lectures 3.
- 2013-08-07 17:24:18下载
- 积分：1
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Matlab
Matlab数字信号处理与应用源代码
各种入门级的数字信号MATLAB仿真程序的源码 详细解释
(Digital signal processing and Matlab source code for the application of a variety of entry-level digital signal source MATLAB simulation program explained in detail)
- 2011-09-01 13:22:09下载
- 积分：1
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zonghexunlian1
实际光源不是绝对的单色，包含一定的光谱宽度△λ。△λ范围内的每一种波长的光都生成各自一组干涉条纹，除零干涉级外，相互间均有位移，使条纹对比度下降。(The actual light source is not absolutely monochromatic, contain a certain spectral width △ λ. Each wavelength of light within the range △ λ generates a set of interference fringes each, in addition to the zero level outside interference, mutual displacement are so fringe contrast decreases.)
- 2015-01-10 18:36:54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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Matrix_Multiplication(quize8)
A sample code for matrix multiplication in C
- 2010-11-10 08:18:41下载
- 积分：1
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perspective_proj
数字图像处理运用matlab实现3D透视投影(Digital image processing using matlab to achieve 3D perspective projection)
- 2020-09-02 19:58:07下载
- 积分：1
