-
ML
说明： ％极大似然方法 gcn为高斯有色噪声！！！比较不同点( Maximum likelihood method for Gaussian colored noise GCN! ! ! Compare different points)
- 2008-09-16 21:22:46下载
- 积分：1
-
ABC
Development ABC algorihm for energy. Solution in Matlab
- 2013-09-06 13:15:13下载
- 积分：1
-
Graphics-and-GUI-using-Matlab
Graphics and GUI using Matlab
- 2012-11-30 18:55:38下载
- 积分：1
-
Programming
包括各种规划问题的文档和程序，无约束优化，线性规划等等(Including planning documents and programs, unconstrained optimization, linear programming, etc.)
- 2011-04-26 20:41:51下载
- 积分：1
-
Classi
to classify shape of image
- 2011-07-20 01:32:47下载
- 积分：1
-
statistical_fuctions
统计量计算程序，用来分析计算信号的各种统计量(statistical analysis)
- 2010-08-06 11:38:18下载
- 积分：1
-
Position_Control_of_servo
position control of servo
- 2009-05-23 20:25:18下载
- 积分：1
-
color-correction-techniques
GW, stretch, wp color correction techniques
- 2011-10-22 04:58:19下载
- 积分：1
-
6
说明： 单位抽样序列单位抽样序列单位抽样序列x(n)(x(n) x(n) x(n) x(n) matlab)
- 2011-12-05 19:01:46下载
- 积分：1
-
fig3_5
when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high.
However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator.
So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.
- 2013-05-02 02:45:33下载
- 积分：1
