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LMFnlsq2
本程序是LM方法实现的主程序，并且本程序通过了LMFnlsq2test.rar程序的测试，证明了程序的正确性和有效性。顺便说下，上面的LMFnlsq2test.rar里面的程序是一个测试程序，它的描述写错了。(This LM method is the main program, the program and the program passed LMFnlsq2test. Rar program test, proves the correctness and effectiveness of the program.. By the way, the above LMFnlsq2test rar program is a test program, a description of the write it wrong.)
- 2014-11-12 22:15:08下载
- 积分：1
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.rar
说明： 针对差分进化( DE) 算法后期收敛速度变慢、收敛精度变低以及易陷入局部最优解的缺点，提出一种基于双种群自适应进化的改进差分进化算法。(To overcome the shortcomings of slow convergence speed, low convergence accuracy and easy to fall into local optimal solution of differential evolution (DE) algorithm, a new algorithm is proposed. An improved differential evolution algorithm for adaptive evolution of two populations.)
- 2019-01-13 11:17:11下载
- 积分：1
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CUEDSystemIdentificationToolbox
CUED系统识别工具箱，包括：
1 Subspace identification of linear systems.
2 Subspace identification of bilinear systems(CUED System Identification Toolbox:
1 Subspace identification of linear systems.
2 Subspace identification of bilinear systems)
- 2010-12-24 13:32:20下载
- 积分：1
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TrackingDifferentiator.m
跟踪微分器，用于自抗扰控制的过度安排作用，学习自抗扰可参考学习，谢谢(Track Differentiator)
- 2013-09-20 23:05:21下载
- 积分：1
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sixtyfour_qam
How to create a modulated 64-QAM signal
- 2010-07-08 17:33:46下载
- 积分：1
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MATLAB6.5fuhaoyunsuan
Matlab6.5符号运算及应用，分析了Matlab符号运算及绘图功能，并提供了大量的实例(Matalab 6.5 symbolic operation and the application of Matlab symbolic computation and graphics functions, and provide a large number of examples)
- 2007-03-27 10:05:21下载
- 积分：1
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code
一种基于FTM方法的液滴自由下落的matlab程序(FTM-based method droplets free-fall program)
- 2015-11-21 12:38:47下载
- 积分：1
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Gaussianwhitenoisestimulus
Gaussian white noise stimulus
- 2009-10-23 00:16:47下载
- 积分：1
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encode
改进后的游程编码，可以继续量化编码转化为二进制数据流，针对一些较为接近的数，通过合适的阈值设定可以近似，从而大大压缩数据流(The improved run-length coding, can continue to quantify the code into binary data stream, for some of the more close to the number set by appropriate threshold can be approximated, thereby greatly compressed data stream)
- 2010-03-04 22:00:10下载
- 积分：1
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VistaRestoreTools1.0
denoise
In BayesShrink[5] we determine the threshold for
each subband assuming a Generalized Gaussian
Distribution(GGD) . The GGD is given by
GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)
¡ 1 < x < 1 ¯ > 0, where
® (¾ X ¯ ) = ¾ ¡ 1
X [ ¡ (3=¯ )
¡ (1=¯ ) ]1=2
and
C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ )
2¡ ( 1
¯ )
and ¡ (t) =
R1
0 e¡ uut¡ 1du.
The parameter ¾ X is the standard deviation and ¯
is the shape parameter It has been observed[5] that
with a shape parameter ¯ ranging from 0.5 to 1, we
can describe the the distribution of coefficients in a
subband for a large set of natural images.Assuming
such a distribution for the wavelet coefficients, we empirically
estimate ¯ and ¾ X for each subband and try
to find the threshold T which minimizes the Bayesian
Risk, i.e, the expected value of the mean square error.
- 2012-06-08 01:38:48下载
- 积分：1
