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FaceForWeb
Face for web is a feature of this Code and you can find out the reduce the size of an image according to the requirements you want so that it can be uploaded to the web using mtlab.
- 2010-12-26 13:52:30下载
- 积分:1
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kicILC-control
ILC 迭代学习控制的matlab程序,是学习迭代过程的好资料,这是第二部分,程序运行效果非常好。(Iterative Learning Control ILC matlab program, the iterative process of learning good information, this is the second part of the program runs very good.)
- 2014-04-26 18:26:19下载
- 积分:1
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Transfermatrxmethodthecharacteristicsofone-dimensi
传输矩阵法求一维光子晶体的特性,包括透射谱,反射谱(Transfer matrix method the characteristics of one-dimensional photonic crystal, including the transmission spectra, reflection spectra)
- 2010-07-27 17:21:26下载
- 积分:1
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h
说明: grey predictor algorithm
- 2010-04-18 10:39:33下载
- 积分:1
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BPSX150sCharacteristics
This simulink model contains the complete description of building PV MODEL OF BPSX150S power generation scheme.
- 2012-08-12 23:36:46下载
- 积分:1
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128POINTFFTCDFOFDM
Script for computing the per symbol peak to average PAPR for
an OFDM transmit waveform (loosely based on IEEE 802.11A
specifications)
Further, Cumulative Distribution Function (CDF) plots of the
PAPR is captured
- 2010-07-11 18:01:47下载
- 积分:1
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matlab
说明: 几个matlab程序实例,阶乘,累加,冒泡排序等.....(Matlab several instances, factorial, cumulative, Bubble Sort, etc. .....)
- 2009-08-08 10:30:32下载
- 积分:1
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w
利用matlab实现下面的问题:其中u(k)和z(k)分别为模型的输入和输出变量;v(k)为零均值、方差为1、服从正态分布的白噪声;为噪声的标准差;利用得到的u(k)和z(k)来辨识模型的阶次和参数。 (Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mean and variance 1, follow a normal white noise noise standards Poor utilization u (k) and z (k) to identify the order and parameters of the model.)
- 2013-04-30 12:01:17下载
- 积分:1
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全相位apfft实验程序
全相位APFFT与传统的FFT算法对频率和相位进行估计(Frequency and phase estimation of all-phase APFFT and traditional FFT algorithm)
- 2019-02-25 14:55:03下载
- 积分:1
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clustring
clustring(Density-Based Spatial Clustering of Applications with Noise) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jö rg Sander and Xiaowei Xu in 1996.[1] It is a density-based clustering algorithm because it finds a number of clusters starting from the estimated density distribution of corresponding nodes. DBSCAN is one of the most common clustering algorithms and also most cited in scientific literature.
- 2011-04-20 16:01:57下载
- 积分:1