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code-examples

于 2013-08-27 发布 文件大小:3994KB
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代码说明:

  图像处理教程案例,源码程序,刚入门的学者不妨一阅,必然好处多多。(Image processing tutorial cases, source program, just to get a scholar might read, certainly many advantages.)

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  • hengcezengwenxitong
    这是一个飞控系统中关于横侧增稳系统的sinmulink仿真框图(This is a flight control system on the horizontal side of sinmulink augmentation system simulation block diagram)
    2010-09-09 10:17:20下载
    积分:1
  • Matlab_NI_daq-example
    Maltlab DAQ example code
    2013-04-18 15:06:46下载
    积分:1
  • dyzbhg.m
    多元线性回归的算法(Multiple linear regression algorithm)
    2013-05-01 12:59:26下载
    积分:1
  • DoubleCloseloop
    电动势负反馈的速度,电流双闭环直流调速系统仿真 (Negative feedback of the speed electromotive force, current Double Loop DC Motor Control System Simulation)
    2008-02-03 04:28:18下载
    积分:1
  • metamaterial-sensor-larbi
    an design of sensor metamaterial in HFSS for the application in seviral domain bio medic ...industru in thise design we used a spiral SRR to have small size electric
    2014-08-19 01:35:06下载
    积分:1
  • random-numbers
    利用三种不同原理产生随机数的方法,种子可以随意变换(Using three different principle methods for generating random Numbers, seeds can be changed at will )
    2012-04-23 14:03:57下载
    积分:1
  • duanshixinhao
    利用matlab对短时信号进行短时能量分析,频谱分析,以及短时傅里叶变换。(Use of matlab for short-term energy of the transient signal analysis, spectrum analysis, and short time Fourier transform.)
    2011-08-30 11:10:47下载
    积分:1
  • gpml-matlab-v1.3-2006-09-08
    说明:  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社,2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性,首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次,它允许指定不同的推理过程,如精确推理和期望传播(EP)。第三,它允许指定似然函数,如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的,允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)
    2020-02-26 20:39:48下载
    积分:1
  • aa
    说明:  4节点系统的matlab潮流编程的模板,希望对初学者有帮助。(power flow programming )
    2012-05-07 14:06:24下载
    积分:1
  • Nakagami_simulation
    采用一种新的方法仿真Nakagami模型(Nakagami model using a new method of simulation)
    2012-05-28 23:25:43下载
    积分:1
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