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Matlab-programming-source-code
现代机械优化设计Matlab编程源代码及方框图(Modern mechanical optimization design Matlab programming source code and block diagram)
- 2013-11-12 14:32:04下载
- 积分：1
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ImageProcessing--Contrast-Stretching-with-Matlab
Contrast Stretching with Matlab. Example matlab code and result images.
- 2014-12-22 15:52:49下载
- 积分：1
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ESPRIT
阵列信号处理的ESPRIT的多种衍生算法：TAM算法，矩阵束的ESPRIT算法，实值波束空间ESPRIT算法，实值空间ESPRIT算法，总体最小二乘ESPRIT算法，最小二乘ESPRIT算法。(Array signal processing algorithms derived from a variety of ESPRIT: TAM algorithm, matrix beam ESPRIT algorithm, the real value of beam-space ESPRIT algorithm, ESPRIT algorithm in real space, total least squares ESPRIT algorithm, least squares ESPRIT algorithm.)
- 2011-11-27 23:27:07下载
- 积分：1
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CHAPTER4
bp神经网络控制，挺不错的，稍改一下可以应用论文中(bp control)
- 2010-08-20 09:54:46下载
- 积分：1
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LMS_8
LMS: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual signal)
- 2010-05-07 00:03:03下载
- 积分：1
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tls_esprit.m
空间谱估计算法，子空间旋转不变法，tls-esprit算法。(Spatial spectrum estimation algorithm, subspace rotation invariant method, tls-esprit algorithm.)
- 2012-09-18 16:17:46下载
- 积分：1
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MWC-subnyquist
MWC sub nyquist sampling Compressive sensing
- 2013-10-18 00:17:27下载
- 积分：1
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mimoqam
QAM MIMO simulation using MATLAB
- 2014-02-04 00:29:59下载
- 积分：1
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matlabSimulink
该压缩包里包括了三个pdf文档，分别对Simulink基本功能模块作了介绍，并将其在matlab中做了一定的实例讲解(The compressed bundle includes three pdf documents, made an introductory basic functional blocks of the Simulink, and a certain amount of examples to explain in matlab)
- 2012-04-21 22:48:59下载
- 积分：1
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ode_fit
已知自变量t，因变量y，y和t满足一下函数式：
dy/dt=0.001414/(1/(4.5727*10^4*k1*(1-0.02119*y)^k2)+1/k3/45727)；（需要指出的是，该公式中参数可进一步合并，在本帖中并未作合并处理）
已知 t=；y=；拟合出参数k1，k2，k3。(Known independent variable t, the dependent variable y, y, and t satisfy my functional: dy/dt = 0.001414/(1/(4.5727* 10 ^ 4* k1* (1-0.02119* y) ^ k2)+1/k3/45727) (It should be noted that the equation parameters can be further consolidated in this post are not treated as a merger) is known t = y = fitting parameters k1, k2, k3.)
- 2015-01-07 21:32:55下载
- 积分：1
