网站首页

登录

数据矩阵运用非负矩阵分解算法 Cochleagram ISNMF2D

于 2018-10-19 发布文件大小:3532KB

 0  275

下载积分: 1 下载次数: 10

我要下载

代码说明：

数据矩阵运用非负矩阵分解算法，分解得到两个低维矩阵，并用于信号分离。(The data matrix is decomposed into two low-dimensional matrices by non-negative matrix decomposition algorithm and used for signal separation.)

文件列表：

Cochleagram ISNMF2D\06317206.pdf, 3637982 , 2014-05-28
Cochleagram ISNMF2D\cochleagram.m, 1173 , 2009-03-25
Cochleagram ISNMF2D\cochplot.m, 1139 , 2013-10-06
Cochleagram ISNMF2D\demo.asv, 1119 , 2014-06-01
Cochleagram ISNMF2D\demo.m, 1116 , 2014-06-01
Cochleagram ISNMF2D\erb2hz.m, 265 , 2009-03-25
Cochleagram ISNMF2D\f_af_bf_cf.mat, 1280 , 2009-03-25
Cochleagram ISNMF2D\fft2gammatonemx.m, 4039 , 2009-03-30
Cochleagram ISNMF2D\gammatoneFast.m, 1604 , 2009-03-25
Cochleagram ISNMF2D\hz2erb.m, 266 , 2009-03-25
Cochleagram ISNMF2D\ibm.m, 1697 , 2009-03-25
Cochleagram ISNMF2D\is_nmf2D_em.m, 3444 , 2014-05-28
Cochleagram ISNMF2D\is_nmf2D_mu.asv, 2979 , 2014-05-28
Cochleagram ISNMF2D\is_nmf2D_mu.m, 2956 , 2014-05-28
Cochleagram ISNMF2D\isp_nmf2d_rec.m, 535 , 2009-08-04
Cochleagram ISNMF2D\isp_nmf2d_rec1.m, 322 , 2012-03-09
Cochleagram ISNMF2D\loudness.m, 1166 , 2009-03-25
Cochleagram ISNMF2D\meddis.m, 1685 , 2009-03-25
Cochleagram ISNMF2D\mfig.m, 520 , 2009-08-25
Cochleagram ISNMF2D\pianotrump.wav, 156084 , 2010-01-02
Cochleagram ISNMF2D\synthesisFast.m, 3271 , 2009-03-25
license.txt, 1307 , 2014-12-02

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

preprocessing-methods
一阶导数、二阶导数，矢量归一化（SNV），多元散射校正（MSC），数据中心化，直接信号校正，平滑处理六种光谱数据预处理的方法(A first derivative, second derivative, vector normalization (SNV), multiplicative scatter correction (MSC), the data center of the direct signal correction, smoothing six kinds of spectral data preprocessing methods)

2021-04-08 08:39:01下载

积分：1
3_demosaicing
图像demasaicing 方法，两种一种是线性，一种是nearest(two ways to demasaicing, nearest and linear, the image is bayer )

2013-05-26 04:42:54下载

积分：1
image_Histogram_equalization
matlab中重要的数字图像处理技术：直方均衡化，可以看出灰度图像的灰度值分布，并且去噪。(matlab important digital image processing techniques: Histogram equalization, we can see the distribution of gray-scale image of the gray value, and the de-noising.)

2009-11-24 11:25:28下载

积分：1
Copy-(3)-of-New-Folder
distorion less data hiding using matlab simulation

2011-04-21 13:40:53下载

积分：1
codigo_linea
GUI CODIGO DE LINEA INTRODUCIENDO UN CARACTER

2013-04-26 07:18:26下载

积分：1
Statistics Code by Matlab
说明：包含一元线性回归分析、多元线性回归分析、逐步回归分析、非线性回归分析、主成分分析、因子分析、层次聚类分析、判别分析、自相关分析和自回归分析的全套Matlab源代码(MATLAB source code including linear regression analysis, multiple linear regression analysis, stepwise regression analysis, non-linear regression analysis, principal component analysis, factor analysis, hierarchical clustering analysis, discriminant analysis, autocorrelation analysis and autoregressive analysis)

2019-03-14 22:17:00下载

积分：1
RBF神经网络谐波检测
说明：基波和三次谐波检测的Matlab径向基神经网络程序，自己写的(The Matlab radial basis neural network program for fundamental and third harmonic detection, written by myself)

2020-07-23 20:26:13下载

积分：1
K-meanCluster
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

2007-11-15 01:49:03下载

积分：1
intromc
说明：基于MATLAB的仿真工具，适合信号处理方面的朋友使用，值得大家学习。(MATLAB-based simulation tool for friends to use signal processing, is worth learning.)

2011-03-29 07:05:08下载

积分：1
ransac_homography
this code is to realize a RANSAC algorithm

2012-03-30 23:24:47下载

积分：1

696518资源总数
106227会员总数
11今日下载