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EXA_MXA_PSA_Visualization
说明： MATLAB是一个非常好的用于测量，分析和可视化的数据，控制仪器，并建立测试系统。安捷伦信号和频谱分析仪可让您分析失真，虚假的，相位噪声，用于2G到4G无线通信测量。这种Matlab下开发的高级数据可视化（ADV）的应用软件，扩展了安捷伦信号和频谱分析仪的可视化功能，提供了四个不同的显示格式：Analog Advanced, Analog Plus, Waterfall,和Spectrogram。这些显示使得更加容易捕获间歇性信号。(MATLAB is a very good for the measurement, analysis and visualization of data, control apparatus, and to establish test systems. Agilent signal and spectrum analyzers lets you analyze distortion, false, phase noise, for 2G to 4G wireless communication measurements. This developed under Matlab Advanced Data Visualization (ADV) of the application software, the expansion of the Agilent signal and spectrum analyzer visualization capabilities, providing four different display formats: Analog Advanced, Analog Plus, Waterfall, and Spectrogram. These shows make it easier to capture intermittent signals.)
- 2008-11-30 12:50:30下载
- 积分：1
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QAMsim
QAm仿真大家看看有没有问题啊，谢谢阿，为什么仿真的结果和公式的结果对不出来(QAm simulation we see no problem ah, thank A, Why simulation results and the results of the formula is not out)
- 2006-09-11 12:48:17下载
- 积分：1
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Segmentation
this file gives information about segmentation.matlab is used for processing
- 2013-07-14 14:23:09下载
- 积分：1
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LFM_radar
合成孔径雷达成像处理中进行的距离向脉冲压缩，可以得到距离向的图像。(radar imaging,range compression,)
- 2016-04-26 23:17:00下载
- 积分：1
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time_series
matlab time series 模型
- 2010-02-18 05:47:33下载
- 积分：1
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NND18HN
人工神经网络hopfield网络的一个演示，采用matlab编写(ANN hopfield network of a demonstration, prepared using Matlab)
- 2007-05-13 10:24:13下载
- 积分：1
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New-folder
Brain Tumor Segmentation
Calculation in Brain MR Images using K-Mean
Clustering and Fuzzy C-Mean Algorithm
- 2013-04-23 21:49:30下载
- 积分：1
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multipath
GNSS 的CA和 BOC码的多径情况，以及图形，功能可以，希望大家有用(ca boc multipath)
- 2021-01-03 17:48:56下载
- 积分：1
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Simple-Clustering
Simple Clustering BY ICA
- 2014-12-14 12:52:57下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
