-
incremental
Gert Cauwenberghs写的一个增量型支持向量机，非常有用的(Gert Cauwenberghs wrote a incremental support vector machive. It is very useful for learning about it.)
- 2010-10-02 16:56:21下载
- 积分：1
-
libsvmSVR
基于libsvm的支撑向量机的回归问题。基本应用和结果(Libsvm based support vector machine (SVM) regression problems.Basic and application results)
- 2015-03-22 10:34:30下载
- 积分：1
-
KMedoids
聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。(K-Medoids clustering algorithm.The file contains a detailed description of the procedures and examples.)
- 2009-09-07 23:14:50下载
- 积分：1
-
LP_HP_filter
Matlab环境下带控制面板的低通、高通滤波器设计，参数可视化调节。(Matlab environment control panel with a low-pass and high-pass filter design parameters visualization regulation.)
- 2006-12-26 17:25:26下载
- 积分：1
-
wavRecordAndSuperimpose
matlab实现声音信号的录制、平移、叠加，进而实现混响效果(matlab to achieve the sound signal recording, pan, overlay, thus achieving reverb)
- 2011-10-15 03:53:10下载
- 积分：1
-
gaosi
多变量高斯过程样本的产生，用matlab编写的(Multivariate Gaussian process for selecting the samples, prepared using matlab)
- 2008-05-08 13:18:06下载
- 积分：1
-
OFDM_64QAM_R14
ofdm 64QAM simulink ofdm 64QAM simulink
- 2009-06-23 18:25:24下载
- 积分：1
-
DSSS-Final
Spread spectrum merupakan sistem dimana sinyal yang dikirimkan memiliki bandwidth yang jauh lebih lebar daripada bandwidth sinyal informasinya sendiri. Proses pelebaran bandwidth sinyal informasi ini dilakukan pada sisi pengirim dan disebut spreading. Sebaliknya, proses penyempitan kembali bandwidth sinyal informasi dilakukan di sisi penerima, dan disebut despreading. Pada gambar 1 berikut menunjukkan proses yang terjadi pada sistem spread spectrum.
- 2013-09-03 15:32:12下载
- 积分：1
-
LS_Fitlers
MATLAB下用最小二乘设计低通，高通，带通，带阻数字滤波器。(Using MATLAB m-file to design LP, HP, BP and BS fitlers based on Least-square algorithm.)
- 2010-06-27 03:43:37下载
- 积分：1
-
svm
SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)
- 2010-07-31 10:21:45下载
- 积分：1
