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pi
说明： this is matlab pid tuning code
- 2009-03-09 12:35:13下载
- 积分：1
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ICA_demo_fMRI
快速独立分量分析（FastICA）源码及ICA在MRI图像中应用的例程。(Fast independent component analysis (FastICA) and ICA source images in MRI applications routines.)
- 2008-08-10 20:47:17下载
- 积分：1
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Network-flow-maximum-flow
网络流 最大流的matlab算法，包含多个文件(The network flow maximum flow Matlab algorithm contains multiple files)
- 2020-12-22 20:19:13下载
- 积分：1
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test_msk
ber of minimum shift keying
- 2010-06-24 17:19:03下载
- 积分：1
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Matlab7toolboxuse
这个程序是关于Matlab7中工具箱使用方法，新手和老手都会从中得益。(This procedure is Matlab7 in the toolbox on the use of novices and old hands will benefit from it.)
- 2007-11-22 16:58:02下载
- 积分：1
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SVM_luzhenbo
支持向量机工具箱，可进行分类，预测等，实现了四种支持向量机工具箱的分类与回归算法，有实例(Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of)
- 2009-03-16 09:59:46下载
- 积分：1
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FLDA
这个呢是用来做人脸识别的，非常简练，而且注释清晰。(FACE RECONGNITION)
- 2010-05-19 11:49:09下载
- 积分：1
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Process-Control
多火电厂主汽温度控制系统的过程控制进行仿真(Of the thermal power plant main steam temperature control system process control simulation
)
- 2011-07-09 21:57:08下载
- 积分：1
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布朗运动
说明： 对布朗运动的方程求解 是个随机微分方程 进行求解(The solution of Brownian motion is a stochastic differential equation.)
- 2020-05-31 22:48:38下载
- 积分：1
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moving_average_v3.1
Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps.
(MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast.
MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact.
NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements.
NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)
- 2009-03-06 23:10:07下载
- 积分：1
