-
matlab_goodBook
matlab入门学习的好书，很经典的，相信肯定可以对广大学习爱好者有帮助(a good book for matlab learning，i think it will useful for every downloader)
- 2009-03-04 15:23:14下载
- 积分：1
-
Patch
3-D FDTD code of patch antenna in free space with Mur s boundary condition
- 2009-11-07 00:46:06下载
- 积分：1
-
Matlab
上一个的继续,连续有九个压缩文件,大家可以打开解压后自己慢慢享用,这个都是本人调试通过了的,希望共同进步!(A continuation of a row has nine compressed file, everyone can open their own after extracting slowly to enjoy, this is my debug adopted, and I hope common progress!)
- 2008-07-27 09:12:53下载
- 积分：1
-
cmorwavf
fei chang you yong de cheng xu(you yong de WM xu)
- 2006-06-22 10:25:24下载
- 积分：1
-
Microsoft-Word--(11)
信号源模块源程序,可以实现程序模块的实现，然后发生需要的程序(Source module source code, you can achieve the realization of the program modules, and the occurrence of the required procedures)
- 2014-12-30 11:12:32下载
- 积分：1
-
OFDM-CHANEEL-ESTIMATION-documentation
DFT-BASED CHANNEL ESTIMATOR FOR OFDM SYSTEMS WITH LEAKAGE ESTIMATION IS DEVELOPED IN MATLAB SOFTWARE. IT IS THE CLEAR DOCUMENTATION.
- 2015-02-18 16:12:38下载
- 积分：1
-
TAM
esprit的tam算法的matlab仿真程序，可生成随信噪比递增均方差的变化图(esprit tam algorithm matlab simulation program can generate a change in variance with increasing signal-to-noise ratio are)
- 2013-05-19 16:30:35下载
- 积分：1
-
hf
说明： Hartree fock in quantum
- 2010-07-08 14:52:31下载
- 积分：1
-
OverlapAdd2
overlapping speech segments
- 2011-02-10 02:05:56下载
- 积分：1
-
perceptron
感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则
找到给定的二分类标签数据超平面。
(PERCEPTRON Perceptron algorithm to train binary linear classifier.
Synopsis:
model = perceptron(data)
model = perceptron(data,options)
model = perceptron(data,options,init_model)
Description:
model = perceptron(data) uses the Perceptron learning rule
to find separating hyperplane from given binary labeled data.
model = perceptron(data,options) specifies stopping condition of
the algorithm in structure options:
.tmax [1x1]... maximal number of iterations.
If tmax==-1 then it only returns index (model.last_update)
of data vector which should be used by the algorithm for updating
the linear rule in the next iteration.
model = perceptron(data,options,init_model) specifies initial model
which must contain:
.W [dim x 1] ... normal vector.
.b [1x1] ... bias of hyperplane.
.t [1x1] (optional) ... iteration number.
Input:
data [struct] Labeled (binary) training data.
.X [dim x num)
- 2011-05-01 18:19:52下载
- 积分：1
