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motor_operator
电动执行机构是连接控制器与执行器(阀门)的部件，从控制出来的是离散信号，经零阶保持器后成为一个方波 信号，值都是阶跃跳动，而阀门的实际工作是有一定的行程时间的，即实际上阀门是不可能实现阶跃跳动的，故此需要一个电动执行器，将控制器的阶跃信号变为连续变化信号，假定阀门的行程时间与阀门开度变化成正比。(Electric Actuator is connected controller and actuator (valve) parts, from the control out of the discrete signal by zero-order cage became a square wave signal, values are step-beating, but the actual work of the valve there is a certain amount of travel time, that is, in fact the valve can not be achieved step beat, and therefore need an electric actuator, the controller of the step change in the signal into a continuous signal, assuming that the valve and the valve travel time changes in direct proportion to the door opening.)
- 2009-10-19 14:36:56下载
- 积分：1
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SENSESY4
插值处理实验数据，并进行最小二乘法拟合，并进行绘图。(Nonlinear fitting)
- 2011-06-27 14:39:01下载
- 积分：1
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Matlab-code
Matlab与C语言混合编程源代码，2012年出版的新书(Matlab and C language mixed programming source code, a new book published in 2012)
- 2013-01-15 19:32:50下载
- 积分：1
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Butterworth-filter-design
本文详尽阐述了如何在matlab环境下设计巴特沃思滤波器(This article elaborates on how to design in matlab environment Butterworth filter)
- 2011-01-23 10:22:14下载
- 积分：1
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multi_user_detection
多载波通信中多用户检测的matlab仿真源代码(multicarrier communications multi-user detection of Matlab simulation source code)
- 2007-03-17 17:00:23下载
- 积分：1
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hucrf_code
Hidden-Unit Conditional Random Fields
工具箱，可以用于训练linearCRF和和L.J.P. van der Maaten, M. Welling
提出的huCRF(We provide Matlab code that implements the training and evaluation of hidden-unit CRFs, as well as code to reproduce the results of our experiments. The code implements four different training algorithms: (1) a batch learner that uses L-BFGS, (2) a stochastic gradient descent learner, (3) an online perceptron training algorithm, and (4) an online large-margin perceptron algorithm. The code can also be used to perform (conditional) herding in hidden-unit CRFs.
)
- 2012-05-23 17:19:59下载
- 积分：1
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src-fusion
A. Fusion at the Feature Extraction Level
The data obtained from each sensor is used to compute a
feature vector. As the features extracted from one biometric
trait are independent of those extracted from the other, it is
reasonable to concatenate the two vectors into a single new
vector. The primary benefit of feature level fusion is the
detection of correlated feature values generated by different
feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy
[14]. The new vector has a higher dimension and represents the
identity of the person in a different hyperspace. Eliciting this
feature set typically requires the use of dimensionality
reduction/selection methods and, therefore, feature level fusion
assumes the availability of a large number of training data.
- 2013-03-14 16:40:42下载
- 积分：1
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mani
流形学习的实现代码,程序包括界面和数个样例程序(manifold learning)
- 2010-07-22 11:22:16下载
- 积分：1
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1
说明： 《MATLAB 7.X系统建模与仿真》一书的完整光盘源代码。(" MATLAB 7.X System Modeling and Simulation" of a book on CD-ROM source code integrity.)
- 2009-04-11 14:49:38下载
- 积分：1
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SequentialTracking
非常好的粒子滤波程序:扩展卡尔曼模型下的序列追踪(very good particle filter : Extended Kalman model tracing the sequence)
- 2006-12-06 18:02:03下载
- 积分：1
