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libsvm-2.9
支持向量机的代码库,使用简单,主要用途是基于支持向量机的分类和回归。还包括C-SVM,nu-SVM,一类SVM,epsilon回归等功能。它还提供了用于C-SVM的自动模型选择工具。(Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
)
- 2011-08-18 22:33:15下载
- 积分:1
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PSO
基于粒子群算法分别以车身加速度和车轮动载荷进行悬架参数寻优(optimization of suspension parameters based on particle swarm algorithm )
- 2014-07-11 09:32:47下载
- 积分:1
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zhengliu
基于单周期控制的整流器,采用MATLAB进行建模仿真。(The rectifier based on one cycle control, using MATLAB modeling and simulation.)
- 2012-05-02 22:37:50下载
- 积分:1
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Nested array
嵌套阵列DOA估计matlab例程,基于Nested Arrays A Novel Approach to Array Processing With Enhanced Degrees of Freedom。(Matlab simulation for DOA estimation with nested array.)
- 2021-04-13 18:38:56下载
- 积分:1
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SeismicLab
地震勘探,matlab程序包,勘探地球物理,地震学。作图工具等。(seismic laboratory)
- 2013-12-08 17:26:22下载
- 积分:1
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79234457xujiyaPMSM_SMO
这是基于滑膜观测器的永磁同步电机的无速度传感器的的模型,改模型能够切换到滑膜控制的速度估计。(This is a permanent magnet synchronous motor based on synovial observer without speed sensor model, change model can switch to the synovial control speed estimation)
- 2016-11-22 11:40:12下载
- 积分:1
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matlabcode
this is a matlab code for an ieee paper named color image enhancement without gamut problem by naik(indian).
- 2009-04-04 21:07:12下载
- 积分:1
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ss_Pe96
说明: 这个程序是描述了跳频系统在部分边带干扰下的BFSK系统的仿真,主要是误码率计算函数(This procedure is described in some side-band frequency-hopping system under the disturbance of the BFSK system simulation, bit error rate is mainly a function)
- 2010-03-29 22:00:55下载
- 积分:1
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haffman
haffman编码,用matlab实现哈夫曼编码(haffman coding)
- 2013-01-08 16:19:02下载
- 积分:1
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music
MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲,信号处理的观测空间可以分解为信号子空间和噪声子空间,显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成,噪声子空间则由协方差矩阵中所有最小特征值(噪声方差)对应的特征向量组成
(MUSIC algorithm is a feature space based on matrix decomposition method. From the geometric point of view, the observed signal space can be decomposed into signal subspace and noise subspace, it is clear that two spaces are orthogonal. Signal subspace to the data received by the array covariance matrix and the eigenvector corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector corresponding to the composition
)
- 2011-12-13 13:32:50下载
- 积分:1