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bsp_2_3_ladt1
LADT ECG Compression Algorithm 1
- 2010-10-02 01:30:19下载
- 积分：1
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bayesleastrisk
matlab贝叶斯分类器，基于matlab的仿真(Bayesian classifier matlab, matlab-based simulation)
- 2009-05-27 23:20:30下载
- 积分：1
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matlab
matlab中有语音处理所需的分帧函数和重叠相加函数，调用起来很简单。(matlab in the sub-frame required for voice processing functions and overlap-add function, call it so easy.)
- 2010-12-26 23:58:58下载
- 积分：1
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sangarticle
Matlab实现的一种基于矩阵分解的信息隐藏代码(This code realize the function of embedding the secret information based on the matrix decomposition)
- 2014-10-02 10:20:19下载
- 积分：1
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Matlab-code
时间序列分析（ARIMA）建模预测的matlab代码(The matlab code of Time series analysis (ARIMA) model to predict )
- 2013-11-23 15:57:29下载
- 积分：1
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singleNPC
实现三电平整流功能，相对于两电平，电平数更多，谐波更小(Achieve three-level rectification function, with more levels and less harmonics than two levels)
- 2019-05-23 10:43:40下载
- 积分：1
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caishuzi
由电脑随机产生一个整数，让用户去猜，如果用户猜的比电脑大，则输出“大了，再小点！”，反之则输出“小了，再大点！”(An integer randomly generated by computer, allowing users to guess, if you guess more than a computer major, then the output of the "big, and then dot!", Otherwise the output is "small, then big points!")
- 2009-11-16 17:31:26下载
- 积分：1
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code-for-rbc
实际经济周期模型中最基本的一些模型的matlab数值模拟程序，包含几个最常见的小例子(Real business cycle model, some of the most basic model of matlab simulation program, useful for very basic)
- 2011-06-14 17:23:16下载
- 积分：1
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code
SPEECH ENCODING USING ADPCM
- 2009-03-14 03:23:36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
