-
matlab_Lab2
Simple NaiveBayes made in Matlab
- 2010-11-27 01:56:21下载
- 积分：1
-
system-pole
控制系统中，系统建模。关于状态空间模型建立，然后通过零极点配置控制程序(Control systems, system modeling. On the state space model, and then zero-pole placement control program)
- 2010-12-05 10:53:49下载
- 积分：1
-
SARlarge
星载合成孔径雷达的回波模拟场景设置程序，以及地固坐标和经纬度坐标的转换Matlab程序(Spaceborne synthetic aperture radar echo simulation scenario setup program, and coordinates and latitude and longitude coordinates to fixed conversion Matlab program)
- 2010-12-07 21:54:25下载
- 积分：1
-
Orde-left--right--
顺序表奇数在左偶数在右，的数据结构算法，matlab(Order table an odd number in the left an even number in the right, the data structure algorithms, matlab)
- 2012-04-29 10:57:32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
-
applied_signal_4
this file contain matlab code for fir filter design
- 2010-11-10 05:49:38下载
- 积分：1
-
DateStr2Num_debuging
日期转换的程序。可将字符型日期转换为数值型。增加了一种常用日期编码格式。建议将其作为mex使用，速度有显著提高。(Date conversion process. Date can be converted to a numeric character. Added a common date code format. Recommend its use as a mex, the speed has improved significantly.)
- 2013-11-17 00:05:00下载
- 积分：1
-
harris
基于RANSAC算法的基础矩阵求解相机的参数(The fundamental matrix based on RANSAC algorithm to solve the camera parameters)
- 2020-10-22 21:57:23下载
- 积分：1
-
dd_tools
Data Description Tools for SVDD analysis
- 2013-01-19 05:18:47下载
- 积分：1
-
SMO-and-KF-DTC-IPM
永磁同步电动机直接转矩控制论文,其中比较了滑模观测器和kalman滤波器的优缺点(SMO-KF compare used in DTC for PMSM drive)
- 2015-02-16 22:57:51下载
- 积分：1
