GPS-survey

BSS demo file for testing

本程序可以实现对图像用Matlab进行奇异值分解(This program enables the images to use Matlab the singular value decomposition)

resource alocation download and enjoy

Fuzzy logic functions by matlab

一种比较好的抗锯齿算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.(A better anti-aliasing algorithm Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.See attached screenshot for a demonstration. More examples included in the code, just run help myaa. Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish (test.m, opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.)

说明：  通过二维高斯匹配滤波器来对冠状动脉实现增强，通过多个方向的滤波使得图像的增强效果更好(Matched by two-dimensional Gaussian filter to achieve enhanced coronary artery, through the filter makes the multiple directions better image enhancement)

说明：  编写改进的差分进化算法，并对神经网络进行优化(improved differential evolution algorithm to optimization the neural network )

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.

This s a ebook about Inverted Pendulum

用svpwm逆变方式来产生交流从而实现异步交流电机调速(With svpwm way to generate AC inverter to achieve asynchronous AC motor speed)