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linespectual
编写的matlab程序，主要介绍如何提取信号的线谱的方法(Written in matlab program introduces how to extract the signal of line spectrum method)
- 2010-06-10 18:59:45下载
- 积分：1
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NeuralNetwork_RBF_Classification
MATLAB中应用RBF神经网络对模式识别处理(MATLAB Application of RBF neural networks for pattern recognition processing)
- 2008-12-30 15:12:09下载
- 积分：1
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FSK-MATLAB
FSK调制解调MATLAB源代码
TXT文件中即为matlab的m文件(FSK modulation and demodulation MATLAB source code TXT file shall matlab m-file)
- 2010-06-21 10:58:39下载
- 积分：1
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Histogram
柱形统计图，能够直接得出图像的灰度直方图。
里面有程序的源代码(Histogram, can directly draw the image histogram.
There are procedures for source code)
- 2012-04-02 22:23:48下载
- 积分：1
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LTE_rx_calculate_turbo_BER
计算LTE物理层中Turbo码的误码率，该模块能应用于整个系统链路级仿真(Calculate the the Turbo code error rate in the LTE physical layer, the module can be applied to the link-level simulation of the entire system)
- 2013-04-16 18:49:22下载
- 积分：1
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Image-Processing-Function-List-of-Matlab
Matlab图形图像处理函数详细列表,对图形图像处理非常有帮助()
- 2008-05-09 09:07:41下载
- 积分：1
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FaultDiagnosis_Fangzhen
仿真信号，及其对其进行故障诊断的方法程序，可用于实际信号的分析(Simulated signals, and its method of fault diagnosis procedures can be used for the actual analysis of the signal)
- 2013-07-17 15:24:54下载
- 积分：1
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initialvmplacement
虚拟机放置matlab代码 随机搜索算法 效率较高 速度较快 求解结果准确 (Virtual machine placement Matlab code random search algorithm is more efficient, faster solution results accurate)
- 2021-04-02 09:49:07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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matlab_manual
Matlab中文手册，能很好的帮助你使用Matlab的函数和文件，很好用！(Chinese Matlab manual can help you use the good function of Matlab and documents, a very good use!)
- 2009-06-10 10:54:13下载
- 积分：1
