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costas
QPSK调制解调程序，COSTA环，学习通信编程的好代码(QPSK modulation and demodulation process, COSTA ring, learning good communication programming code)
- 2020-07-01 06:40:02下载
- 积分：1
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wmac
ar9341 openwrt package：modify mac
- 2015-02-04 11:35:20下载
- 积分：1
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multi_scale_edge_detection_
multi-scale egde detection with matlab
- 2014-02-05 14:03:06下载
- 积分：1
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SOGFS_aaai16
Structured
Optimal Graph Feature Selection
对图像样本进行特征选择，使用自学习算法，然后得出相似度矩阵S(% Input
% X: dim*num data matrix
% gamma: coefficient of L21
% d: projection dim of W(dim*d)
% c: number of clusters
% k: nearest neighobrs
%Output
%id: sorted features by ||w_i||_2)
- 2018-04-28 18:44:57下载
- 积分：1
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PV_Inverter
说明： 用MATLAB/SImulink 搭建的单相光伏并网逆变器仿真(Single-phase photovoltaic grid-connected inverter simulation with MATLAB/SImulink)
- 2021-01-22 20:23:06下载
- 积分：1
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Unconstrained-optimization-method
本资源主要对矩阵分解中的LU分解、LDL’分解、乔列斯基分解，以及无约束最优化领域中的最速下降法、牛顿法、拟牛顿法的原理、步骤和算法进行了简要介绍，并对各种方法进行了Matlab编程实验，得到了较好的结果。 本资源包含了《矩阵分解及无约束最优化方法的原理和应用简介》文档以及其中用到的全部Matlab程序，非常适合初学者学习与研究。(The resources are mainly in the matrix decomposition LU decomposition, LDL decomposition, Cholesky decomposition, and unconstrained optimization field steepest descent method, Newton s method, the principle of quasi-Newton methods, procedures and algorithms are briefly introduced, and various methods of Matlab programming experiment, get a better result. This resource contains a matrix decomposition and unconstrained optimization methods Introduction to the principles and applications which uses all the documents and Matlab program, ideal for beginners learning and research.)
- 2015-04-13 21:29:43下载
- 积分：1
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MATLAB
MATLAB遗传算法工具箱函数应用 有需要学习和了解遗传算法工具箱函数的 看看(MATLAB genetic algorithm toolbox function application)
- 2009-04-26 20:43:20下载
- 积分：1
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22222225
这是一个指纹识别的matlab代码，用gabor滤波器处理的。(This is a fingerprint recognition matlab code processed using gabor filters.)
- 2009-05-12 12:42:14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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KNN_Matlab
K近邻分类的Matlab算法，简单，适合初学，验证可用(KNN )
- 2011-06-05 16:24:39下载
- 积分：1
