-
matlab-classic-program
各种matlab经典算法，包括数据分析，解方程，绘图，规划，插值与拟合等(Various matlab classic algorithms, including data analysis, solving equations, drawing, planning, interpolation and fitting)
- 2012-06-10 10:20:42下载
- 积分：1
-
robot_arm
机器人的simulink模型，能够看到原代码。希望对你的学习有所帮助。(robot Simulink model will be able to see the original code. You want to learn some help.)
- 2007-06-13 08:24:08下载
- 积分：1
-
Bitlogistic
Simulation of the Bit level Logistic map
n is the number of the simulated points.
x is the simulated time series.
a is the parameter.
- 2014-12-13 02:51:46下载
- 积分：1
-
IntroMatlab
MATLAB工具箱教程psl and pca 工具箱使用方法(MATLAB toolbox tutorial psl and pca toolbox to use)
- 2007-08-21 16:22:03下载
- 积分：1
-
matlab
很好的MATLAB教程，思路清晰，有助于初学者快速学号MATLAB(Good MATLAB tutorials, clear thinking, helps beginners quickly learn No. MATLAB)
- 2014-12-13 19:00:14下载
- 积分：1
-
cascaded-multilevel-inverter
cascaded multilevel invertercascaded multilevel invertercascaded multilevel invertercascaded multilevel invertercascaded multilevel invertercascaded multilevel inverter
- 2013-10-25 02:15:33下载
- 积分：1
-
fuzzpid
智能控制,模糊控制器设计步骤，经过模糊化等过程(intelligent control)
- 2012-11-26 20:43:27下载
- 积分：1
-
DSP_zuixiaoercheng
最小二乘窄带干扰消除。有用信号是一个点状目标，产生窄带干扰采样，产生高斯白噪声，设计一个M=100个系数的单步(D=1)线性预测器，再用得到的线性预测器来消除图中被干扰的信号x(n)中的噪声。(Least Squares narrowband interference cancellation. The useful signal is a target point, narrow-band interference is sampled Gaussian white noise, the design of a M = 100 coefficients in a single step (D = 1) linear predictor, then the obtained linear prediction filter to eliminate the interference graph the signal x (n) the noise.)
- 2014-01-29 12:09:16下载
- 积分：1
-
m12_5
神经网络模型辨识及其MATLAB实现范例(Neural network model identification and implementation examples of MATLAB)
- 2009-03-12 11:07:18下载
- 积分：1
-
FCMandKFCM
采用模糊聚类算法和加核模糊聚类算法进行医学图像的分割。采用matlab编程，界面处理较好。
(Using fuzzy clustering algorithm and processing of nuclear fuzzy clustering algorithm for medical image segmentation. Using matlab programming, interface, better handling.)
- 2009-11-20 15:12:32下载
- 积分：1
