-
PIpmsm
参数自整定PI估计器在永磁同步电机直接转矩控制中的应用研究的硕士论文。很有参考价值。(Parameter self-tuning PI estimator in the permanent magnet synchronous motor direct torque control of the applied research, Vol. Great reference value.)
- 2010-10-28 20:26:07下载
- 积分:1
-
Bassel
前面搞错了,把五个文件一起打包上传了,现在一个一个传
贝塞尔Bassel滤波器的离散滤波算法 模拟程序
程序头上有详细的注释和使用说明(Made a mistake in front of the pack with five file upload, and now one by one Chuan Bassel filter discrete Bessel filter head simulation program procedures detailed notes and use)
- 2008-06-12 02:21:11下载
- 积分:1
-
emdmfiles
emd算法的源代码,用于信号处理和数据分析(emd algorithm source code for signal processing and data analysis)
- 2007-03-13 20:09:58下载
- 积分:1
-
itc
information theory n coding
- 2013-10-15 14:50:54下载
- 积分:1
-
Ant-colony-clustering-ant-colony-
蚁群聚类蚁群聚类蚁群聚类蚁群聚类蚁群聚类蚁群聚类(Ant colony clustering ant colony clustering clustering clustering clustering ant colony clustering)
- 2011-05-24 17:05:54下载
- 积分:1
-
1
说明: matlab基础教程,叫你怎么样使用MATLAB,对MATLAB有所了解(it s the use of MATLAB,help you unstand matlab)
- 2010-05-29 10:39:50下载
- 积分:1
-
CAMSHIFT-Tracking-Algorithm
part1.m
1. Converts 14 image pairs of a video sequence to grayscale.
2. Computes the absolute difference between the pairs yielding 15 images.
camshift.m
1. Implementation of the CAMSHIFT algorithm for tracking a hand in a video sequence.
Executing this project from within Matlab
At the command prompt enter:
>>part1
>>camshift
- 2013-05-09 02:09:41下载
- 积分:1
-
AdvancedPIDcontrolandMATLABsimulation
《先进PID控制及其仿真》,讲述了如何在MATLAB环境下对各种PID算法的仿真,很有价值的一本书(" Advanced PID Control and Simulation" , describes how under the MATLAB environment for the simulation of various PID algorithm, the value of a book)
- 2009-05-08 12:07:38下载
- 积分:1
-
lucas_kanade
Feature tracking using KLT function
- 2012-04-27 17:58:51下载
- 积分:1
-
icasso122
Introduction
Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)
- 2009-04-11 23:10:41下载
- 积分:1