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view3d
java与matlab编程的例题。想要做类似工程项目的人员可以参考哦。(java and matlab programming examples. Want to do similar projects can reference Oh.)
- 2008-02-20 19:31:51下载
- 积分:1
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b3
说明: license plate recognition
- 2010-04-06 20:38:17下载
- 积分:1
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Automatic-control
这是一本研究控制的非常好的多学科书籍!尤其在航天控制领域是每名研究人员必备的参考书籍!(This is a study on the control of very good multidisciplinary books! Especially in the field of space control is every researcher essential reference books!)
- 2015-01-14 23:30:35下载
- 积分:1
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chengxusheji
共轭梯度法在数值分析中应用非常广泛,比最速下降法要快,这里是FR共轭梯度法,及简单的例子。(Conjugate gradient method in numerical analysis is widely used, and faster than the steepest descent method , this is FR conjugate gradient method, and some simple examples.)
- 2015-03-12 11:23:08下载
- 积分:1
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MATLAB_graphics_classic_example_of_source_program
MATLAB图形处理源码程序经典实例MATLAB graphics classic example of source program(MATLAB graphics classic instance of the source program MATLAB graphics classic example of source program)
- 2010-08-03 17:24:37下载
- 积分:1
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dir2cas
直接型到级联型的形式转换
% [b0,B,A]=dir2cas(b,a)
%b 为直接型的分子多项式系数
%a 为直接型的分母多项式系数
%b0为增益系数
%B 为包含各bk的K乘3维实系数矩阵
%A 为包含各ak的K乘3维实系数矩阵
%(directly to the cascade-type conversion in the form of%% [belts, B, A] = dir2cas (b, a)% b-to direct the molecular polynomial coefficients% for a direct-denominator polynomial coefficients% of the gain coefficient belts% B To contain the bk K by the three-dimensional real coefficient matrix% A to include all ak K by the three-dimensional real coefficient matrix%)
- 2006-11-06 09:03:56下载
- 积分:1
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shuzixinhaochuli1
我们学校自己编的数字信号处理实验指导书,很经典哦(Our school their series of digital signal processing experiment instructions, very classic Oh)
- 2013-03-02 14:54:23下载
- 积分:1
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The-steepest-descent-method
最优化方法 最速下降法程序 MATLAB程序(MATLAB program optimization method of steepest descent method)
- 2013-03-03 15:00:43下载
- 积分:1
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digital-signal-processing
语音信号处理Matlab
MATLAB-based digital signal processing and Practice Development(Speech Signal Processing Matlab)
- 2013-11-01 17:06:28下载
- 积分:1
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DecisionTreeBasedOnHiberarchyDecomposition
传统的决策树能较好地解决分类问题,但当类的个数增多时,所产生的单一决策树就会变得复杂,同时概括能力降低。 该文采用基于层次分解的方法通过产生多层决策树来处理多类问题。 与传统的单一决策树比较, 基于层次分解的决策树在处理多类问题时有许多的优势。(induction learning,decision tree,id3 ,hiberarchy decomposition)
- 2010-06-14 17:26:52下载
- 积分:1