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Matlab
This is very useful book for engineer and scientist, is signal processing area.
- 2009-05-12 22:03:33下载
- 积分：1
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yy
说明： 加信噪声，单边带调幅，设计波特滤波器，过滤噪声，比较经过希尔伯特变换前后的区别(Plus letter noise, single-sideband amplitude modulation design Potter filters, filter noise comparison, after the difference between before and after the Hilbert transform)
- 2012-11-27 22:38:23下载
- 积分：1
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2 跳频系统
说明： 这是一个很好用的跳频通信系统的matlab仿真的资料，对于不会的同学很有效。simulink的设计电路方法很简单，(This is a very good use of frequency hopping communication system of MATLAB simulation data, for students will not be very effective. The circuit design method of Simulink is very simple)
- 2021-03-22 14:29:16下载
- 积分：1
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MTLAB
MATLAB中常用的程序，包括硬阀值、软阀值、全局阀值，小包波去噪等等，希望对初学者有用。(Procedures commonly used in MATLAB, including the hard threshold and soft threshold, global threshold, wave packet de-noising, etc., in the hope that useful for beginners.)
- 2009-04-26 08:44:38下载
- 积分：1
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fibonaci
Fibonacci数列，已知一个Fibonacci数，能求出它的N值(Where Fibonacci sequence, a number of known where Fibonacci, can find its N)
- 2009-12-04 15:38:11下载
- 积分：1
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30698639gaosi
高斯回归建模 用与建立代理模型 利于对映射关系进一步研究
- 2011-01-09 09:48:49下载
- 积分：1
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svpwm_fu
空间矢量svpwm控制的matlab仿真模型(Space vector svpwm control matlab simulation model)
- 2011-09-30 14:20:58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
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LPQ_TOP
Latest Matlab implementation of Local Phase Quantization (LPQ) descriptors
- 2011-10-25 16:26:03下载
- 积分：1
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AjustePSSvel
Adjust a speed PSS for synchronous generator control.
- 2015-03-10 21:53:13下载
- 积分：1
