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fulldetails
This is a direct torque control of induction motor
- 2011-05-01 15:07:15下载
- 积分：1
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PSO-PID
用于优化PID三个参数的粒子群程序代码，简便实用。(Used to optimize the three parameters of the PID particle swarm code, simple and practical.)
- 2021-05-12 18:30:02下载
- 积分：1
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QPSKMODULATORANDDE-MODULATOR
基于MATLAB软件下的QPSK 调制解调(MATLAB-based software under the QPSK modulation and demodulation)
- 2008-02-01 03:03:34下载
- 积分：1
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MyKmeans
实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))
- 2005-07-26 01:32:58下载
- 积分：1
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WienerFilter
数字维纳FIR（有限长）滤波与理想滤波效果比较(wiener filter)
- 2012-04-12 15:28:14下载
- 积分：1
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BP
BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)
- 2015-03-26 22:32:47下载
- 积分：1
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20062516425
学习matlab的必备书籍,很好,我看过了,关于数据处理的
(a book of matlab)
- 2009-02-13 02:18:07下载
- 积分：1
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hough
用hough监测圆................(fdfddffasdghgfsf)
- 2009-03-20 16:10:39下载
- 积分：1
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wimax-mimo.alamouti-ofdm
MIMO-OFDM系统仿真MIMO-OFDM系统仿真MIMO-OFDM系统仿真MIMO-OFDM系统仿真MIMO-OFDM系统仿真(MIMO-OFDM system simulation MIMO-OFDM system simulation MIMO-OFDM system simulation MIMO-OFDM system simulation MIMO-OFDM system simulation)
- 2011-05-11 22:10:50下载
- 积分：1
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image
对图像进行均衡化的matlab程序,使用的图像是标准的lena 大家可以选择其他图像看效果(A PRAOGRAM TO ACHIEVE A IMAGE JUNHENGHUA)
- 2011-05-18 14:07:29下载
- 积分：1
