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tvdenoise
用total variance（TV）算法对图像进行去噪，具体参数代码里有(With the total variance (TV) image denoising algorithm, the specific parameters in the code there)
- 2010-07-19 08:32:28下载
- 积分：1
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chidubianyuanjiance
尺度边缘检测，效果还不错的MATLAB代码。(Scale edge detection, the results were good.)
- 2010-09-07 11:38:39下载
- 积分：1
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mackey
二进制LDPC构造方法，MAKEY方法是初级LDPC学习的编码方法(Binary LDPC constructor, MAKEY is the primary method of LDPC coding learning)
- 2010-11-22 15:53:07下载
- 积分：1
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GM(1-1)
说明： 著名的灰色预测模型，用于人口、经济、资源等的发展预测( Famous gray prediction model for population, economy, resources, development of forecast )
- 2011-03-10 13:54:44下载
- 积分：1
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vibration11
带有干摩擦环节的振动吸振器，matlab-simulink下的自主模型，模拟振动的微信时序曲线(Vibration with dry friction aspects of vibration, independent model matlab-simulink under simulated vibration micro-channel timing curve)
- 2014-09-16 08:29:25下载
- 积分：1
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Music
Music算法实例，算法matlab程序，经典算法(Music instance of the algorithm, algorithm matlab program, the classical algorithm)
- 2013-04-05 21:17:31下载
- 积分：1
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CPPBUILDER-package-design
创建和编辑包
创建一个包需要指定：
· 包的一个名字。
· 新包要求使用或链接的其他包的列表。
· 包编译时包含或绑定的单元文件的列表。包实质上是这些包含已编译.BPL功能的源代码单元的封装，包含（Contains）列表是想编译进包的定制组件的源代码单元放置的地方。一个包由C++源文件（.CPP）和扩展名为.BPK的工程选项文件定义。这些文件由包编辑器生成。
(Creating and editing package to create a package needs to be specified: a name of the package. The new package requires the use of or linked list of other packages. Compile a list of unit package that contains the file or binding. These packages contain essentially compiled. Source code package BPL unit functions, including (Contains) list is to source code modules compiled into the custom component package placed. A package of C++ source file (. CPP) and the extension. Engineering options file defines the BPK. These files are generated by the package editor.)
- 2014-02-19 21:28:41下载
- 积分：1
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Moesp Example
说明： This is the worked example of using MOESP, the example found in: Subspace Methods for System Identification, written by: Tohru Katayama , "Springer 2005", page 160 example 6.6.
- 2020-04-17 07:55:06下载
- 积分：1
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EMALGORITHM
In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.
- 2010-12-14 17:04:44下载
- 积分：1
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Matlabansys
Matlab有限元分析与应用，很好很重要(Matlab finite element analysis and applications, very good is very important)
- 2008-04-09 09:53:38下载
- 积分：1
