-
hill
采用爬山法求解优化问题，一共4个文件，函数和脚本分开放(Climbing method used optimization problem, a total of four documents, functions and sub-script open)
- 2007-11-16 01:48:13下载
- 积分：1
-
BPSK
BPSK的simulink仿真，及其完整的参数设置，频谱分析图和星座图(Simulink simulation of BPSK, and a complete set of parameters, the spectrum and constellation diagram analysis)
- 2009-04-27 20:49:55下载
- 积分：1
-
mybss
使用FastICA算法，进行盲源分离，得出源信号。(FastICA algorithm used for blind source separation, arrive at the source of the signal.)
- 2008-04-19 09:41:11下载
- 积分：1
-
BWRemoval
an example of how bw can be removed from ecg.
- 2011-02-03 19:41:00下载
- 积分：1
-
rr
说明： 这个是用matlab写的测回法程序,很好的望大家一定要踊跃下载
(This is measured using matlab written back to law procedures, a good look we must actively download)
- 2008-11-06 21:11:00下载
- 积分：1
-
Naive-Bayes
基于matlab的Naive Bayes分类，分为train,test和run(Matlab-based Naive Bayes classification, divided into train, test and run)
- 2014-11-22 06:41:57下载
- 积分：1
-
modulation
There are 5sample files of qpsk, ofdm, scfde, alamouti and space time codings.
those of 5samples can be useful for using matlab user.
- 2010-08-23 16:06:49下载
- 积分：1
-
refraction
使用MATLAB语言编写的光的反射程序，有需要的可以参考一下(The use of MATLAB language of light reflection process, there is a need to look at the can)
- 2008-06-16 15:47:56下载
- 积分：1
-
magic-cube-in-matlab
用于初学者在matlab中绘制魔方，初学者可以下载学习其中步骤(magic cube in matlab)
- 2013-05-21 03:08:36下载
- 积分：1
-
fcn_SR_KF
This file compares three different versions of the Kalman filter.
The Kalman filter is used for recursive parameter estimation.
The Kalman filter can handle noisy measurements.
The first implemented filter (fcn_KF) is the Kalman filter with standard
update of the covariance matrix P.
The covariance matrix reflects the uncertainties of the predictions.
To improve the numerical stability Potter developed a
square root update (fcn_KF_SRP) of the covariance matrix P.
Another version is the square root covariance update via
triangularization (fcn_KF_SRT).
This file generates a model. Then the three Kalman filters perform an
estimation of the model parameter. At the end the results are compared.
Sources:
Simon, D. (2006): Optimal state estimation
Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques
Golub, G. (1996): Matrix Computations
- 2014-02-14 18:30:49下载
- 积分：1
