-
EM
说明: em算法的学习资料,各种格式,包含c和matlab源代码,希望有所帮助(em algorithm learning materials, a variety of formats, including c and matlab source code, hope that helps)
- 2011-01-08 13:23:36下载
- 积分:1
-
zhixin
基于Matlab的RSSI质心定位算法源码(Centroid localization algorithm source code based on Matlab RSSI)
- 2021-04-15 09:08:54下载
- 积分:1
-
EMD_HHT2
还是希尔伯特--黄变换的程序,呵呵。hht emd(or Hilbert-- Huang Transform procedures, huh. Hht EMD)
- 2006-06-15 15:16:38下载
- 积分:1
-
MATLAB_Program
图像处理的偏微分方程方法程序,有图像的分割,增强等程序,里面的有程序运行,所需要的图片,视频非常好用!(Method of partial differential equations of image processing procedures, image segmentation, enhancement program, which are run, the required pictures, video is very easy to use!)
- 2011-10-08 18:31:34下载
- 积分:1
-
Image-Encryption-and-Decrypption-using-Bitplanes
Image encryption using bitplanes, first image decomposed into their bitplanes,some key image applied for encryption,it will be decrypted if and only if exact key used.
- 2014-11-28 23:48:22下载
- 积分:1
-
AudioFilteringToolkit
声音过滤器工具大集合.(Voice filter large collection of tools.)
- 2007-11-01 03:11:58下载
- 积分:1
-
stc_qpsk
基于QPSK调制方式配合MIMO通信原理进行的STC编发的matlab仿真(Based on QPSK modulation with MIMO communication principle of STC braided matlab simulation)
- 2013-08-15 14:33:42下载
- 积分:1
-
插值和拟合程序
说明: 运用matlab程序,分析实现数值的插值与拟合功能(Realize the interpolation and fitting of numerical value)
- 2020-10-19 15:26:32下载
- 积分:1
-
fdtd2danalysis
FDTD analysis in two dimension using MATLAB environment....
- 2009-04-24 22:32:16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