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commu_simulationapplicationexamples.part04
基于MATLAB的通信系统仿真应用详解，这是第4卷。()
- 2007-10-01 15:25:08下载
- 积分：1
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bus30_pf
30总线系统的潮流计算
finpt.m可以修改各支路、各总线的有功、无功、无功补偿、支路阻抗等数据，运行后，运行pflw.exe文件，生成pfoutput.m文件显示潮流计算结果(30-bus system can modify the flow calculation finpt.m slip, the bus active and reactive power, reactive power compensation, slip resistance and other data, run, run pflw.exe files, documents show power flow generated pfoutput.m Results)
- 2011-01-10 02:51:56下载
- 积分：1
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ART
ART1自适应谐振网，已经通过测试，分类性能良好并且准确，此程序已经完成了运行，希望大家好好利用(ART1 adaptive resonance network, has passed the test, the classification performance is good and accurate, this program has completed running, I hope you make good use of)
- 2013-07-19 13:07:30下载
- 积分：1
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ekfopt
一个EKF进行优化的例程，非常好，值得学习！(A good example of EKF, it is well worthing!)
- 2012-09-03 15:14:38下载
- 积分：1
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adaptive-scaling
adaptive scaling for tone reservation and active constellation extension
- 2014-11-27 11:19:21下载
- 积分：1
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NLM
说明： 这是单相mmc最近电平调制的matlab simlink仿真(This is a simlink simulation of single-phase mmc recent level modulation)
- 2020-08-24 15:58:17下载
- 积分：1
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Matlab-StepFunction
Step-function非自治系统周期系统的数值模拟的解曲线和相空间轨线(Step-function)
- 2010-11-11 22:21:39下载
- 积分：1
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radardopplerex
雷达试验具体方法，包括线形跳频信号的处理，运动目标的速度测量等(radar specific test methods, including linear frequency signal processing, the speed of moving targets, such as measurement)
- 2007-04-13 18:25:04下载
- 积分：1
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uci2svm
将UCI数据转为为libSVM数据格式的matlab代码。包含数据集。(The UCI data into for libSVM data format of matlab code. Contains data set.)
- 2012-09-21 11:04:46下载
- 积分：1
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N-sparse
创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map.
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- 2013-10-21 20:43:18下载
- 积分：1
