-
restore-the-motion-blurred
说明: 根据需要输入模糊参数,生成相应的模糊图像,并对模糊图像进行恢复,验证运动模糊图像的恢复算法(Input fuzzy parameters needed to generate the corresponding blurred image,and restore the blurred image to authenticate the algorithm)
- 2011-03-07 14:10:05下载
- 积分:1
-
Sobel4
运用Sobel算子对图像进行锐化的源代码(Using Sobel operator to sharpen the image source code)
- 2010-11-17 10:04:55下载
- 积分:1
-
Matlab_Code_1
Source Code for Anntena and Shipping Cost
- 2011-06-14 04:27:14下载
- 积分:1
-
4094
Dynamic Modelling and Adaptive Traction Control for Mobile Robots
- 2015-01-11 01:01:54下载
- 积分:1
-
Synchronous-Motor-Vector-Control
永磁同步电机矢量控制,基于matlab/simulink仿真(Permanent magnet synchronous motor vector control, simulation based on matlab/simulink)
- 2014-01-27 15:20:16下载
- 积分:1
-
matlab-simple-GA
在matlab下实现的遗传算法编程,希望对遗传算法的初学者有所帮助(In matlab genetic algorithm to achieve programming, genetic algorithm would like to help beginners)
- 2008-01-19 10:47:15下载
- 积分:1
-
chap3_02_MIT_MRAC
在自动控制系统的过程中,白噪声的产生方法,MIT 稳定方程 持续时间 稳定时间(The automatic control system of the process, the white noise generation method, MIT stabilization stabilization time duration equation)
- 2013-09-04 14:49:13下载
- 积分:1
-
An-automated-method-for-estimating-reliability-of
An automated method for estimating reliability of grid systems
- 2015-02-26 20:58:55下载
- 积分:1
-
GA_program
Genetic Algorithm matlab programs for student
- 2011-01-28 22:36:07下载
- 积分:1
-
kalman-filter-simulation-tools
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)
- 2007-05-24 21:18:33下载
- 积分:1