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DS_Examples_MATLAB
DSP using matlab is one of the good book for developers and engineers.
- 2009-07-06 20:39:48下载
- 积分：1
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MVDR
说明： 关于矢量水听器MVDR的波束形成性能研究(On the vector hydrophone performance of MVDR beamforming)
- 2011-03-26 22:50:56下载
- 积分：1
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eur_call
说明： 给定同样的M条样本轨道，计算出欧式看涨期权的价格调用 underlying函数(M be given the same sample path, calculate the price of European call option)
- 2011-04-01 00:38:25下载
- 积分：1
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svcmoxingsheji
无功功率补偿器的完整仿真模型，补偿效果通过了验证(The complete simulation model of the reactive power compensator )
- 2021-04-04 18:59:04下载
- 积分：1
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SPLBASE
多元线性回归算法，能将多个线性的物质之间的变量和自变量之间建立相关度高的线性回归方程。(Multiple linear regression algorithm, can the variables and between multiple linear material to set up linear regression equation with high correlation between independent variables.
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- 2013-10-03 23:50:29下载
- 积分：1
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finite_ridgelet_transform_toolbox
有限脊波变换的matlab工具箱。本人自己编写(Finite ridgelet transform matlab Toolbox)
- 2021-01-25 11:48:37下载
- 积分：1
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function3
The DocPolynom to Character Converter
The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate.
The char method uses a cell array to collect the string components that make up the displayed polynomial.
The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB.
Here is the char method.
- 2011-02-12 00:12:28下载
- 积分：1
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ShapeContext
说明： 目标匹配经典特征shape context的Matlab源码！(The source code of the shape context!)
- 2010-04-15 16:26:10下载
- 积分：1
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lunwen
说明： 介绍使用GPIB控制卡，控制仪器的方法，以及使用函数库编写程序对仪器进行读写控制等。(Introduced using the GPIB controller to control the instrument approach, and write programs using the library to read and write control of the instrument.)
- 2010-05-03 16:40:08下载
- 积分：1
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weann-filter
this is Demonstration of Wiener filter,LMS filter,Steep-descent algorithm.(Demonstration of this is Wiener filter, LMS filter, Steep- descent algorithm.)
- 2007-04-29 16:33:27下载
- 积分：1
