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ECGmatlab
内含心电信号数据及运用MATLAB写的源代码，毕设作品，运行良好(Includes the use of ECG data and source code written in MATLAB, Bi-based work, running good)
- 2009-05-15 23:27:29下载
- 积分：1
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Chebpack
Chebpack by Damian Trif
- 2014-02-07 03:06:24下载
- 积分：1
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Matlab
HHT变换的matlab程序，简单明了，希望对大家的学习有帮助(HHT transform matlab program simple, we want to help the learning)
- 2010-10-14 20:08:24下载
- 积分：1
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migration.tar
matlab code for seismic Migration
- 2009-12-14 04:59:04下载
- 积分：1
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mbook
说明： 例举了很多用matlab编写的程序 实现了很多功能(A lot of examples of the preparation procedures used matlab realize a lot of features)
- 2008-08-27 13:06:18下载
- 积分：1
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CONTROL
process dynamics and control
- 2013-04-29 16:43:21下载
- 积分：1
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Downlink_Rake
IS-95的下行链路的RAKE接受代码。(The downlink rake code for IS-95.)
- 2014-02-23 19:38:16下载
- 积分：1
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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
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Hankel_Asymptotic_High_Order
实现第一类hankel函数及其导数的一致渐进展开H_v^{(1)}(k_z)(Achieve consistent first class hankel function and its derivatives, asymptotic expansions H_v ^ {(1)} (k_z))
- 2012-05-21 16:07:00下载
- 积分：1
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saveTightFigure
Script for saving a cropped pdf from MATLAB.
- 2013-11-04 19:02:29下载
- 积分：1
