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LunarCalendar
农历查询,改编自某网页之JavaScript,欢迎改动 (Lunar inquiries, adapted from a page)
- 2008-08-18 14:19:42下载
- 积分:1
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Matlab-books-
这是关于matlab的书籍,非常使用的,讲解很详细,例子比较使用。(Books about matlab, very used to explain the very detailed examples.)
- 2012-11-08 23:12:35下载
- 积分:1
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MIMOESPRIT
MIMO阵列的esprit算法,编写并且验证正确。(esprit for MIMO array)
- 2015-03-18 21:19:39下载
- 积分:1
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NFEA
张量分解提取生物学特征,NFEA: Tensor Toolbox for Feature
Extraction and Applications(
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials,
epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and
analysis, dimensionality of the data could be augmented due to expression of the data into sparse
domain (time-frequency representation) by different transforms such as STFT, wavelets. That means
data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze
such data by considering them as vectors or matrices might be not suitable due to risk of losing the
covariance information among various modes. To discover hidden multilinear structures, features
within the data, the analysis tools should reflect the multi-dimensional structure of the data)
- 2020-07-21 16:48:45下载
- 积分:1
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jpeg
this is the jpeg code i try to simulate in matlab
- 2010-10-30 12:41:30下载
- 积分:1
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Mimotools
code matlab for mimo system
- 2009-12-09 17:52:05下载
- 积分:1
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filter
这是基于MATLAB下的XILINX的FPGA的FIR滤波器的模型设计文件(This is a MATLAB-based FPGA of the XILINX Model of the FIR filter design documents)
- 2009-06-24 13:36:51下载
- 积分:1
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Optimization-theory-and-methods-
最优化理论的课件 也是我去年上课时自己保留的课件 很实用 里面的算法 简单明了(Optimization theory courseware is also very practical courseware in my class last year retained inside the algorithm is simple)
- 2012-04-17 12:18:55下载
- 积分:1
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DynamicRangeIndicator
外汇交易平台上的一个很有用的指标源码:动态范围指标,可以用于预测一些趋势中的反转点(Dynamic Range Indicator is a very useful indicator that can find out reversal points in a trend.)
- 2012-11-25 23:43:26下载
- 积分:1
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NR_power-Flow
x0 = ones(2,2) Make a starting guess at the solution
options = optimset( Display , off ) Turn off Display
[x,Fval,exitflag] = fsolve(@myfun,x0,options)
The solution is
x =
-0.1291 0.8602
1.2903 1.1612
Fval =
1.0e-009 *
-0.1619 0.0776
0.1161 -0.0469
exitflag =
1
and the residual is close to zero.
sum(sum(Fval.*Fval))
ans =
4.7915e-020
- 2014-02-22 08:37:54下载
- 积分:1