登录
首页 » matlab » cedif

cedif

于 2005-10-19 发布 文件大小:3KB
0 225
下载积分: 1 下载次数: 0

代码说明:

说明:  一致性扩散原理求解偏微分方程,常用来进行超声图像的斑纹噪声消除算法(consistency proliferation principles of nonlinear partial differential equations, commonly used to stain the ultrasound image noise reduction algorithm)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • tftb
    matlab文件操作的典型 例子,欢迎指正(matlab file operations of a typical example, please correct me)
    2008-07-06 17:46:46下载
    积分:1
  • 9-8
    说明:  bp神经网络预测电力负载,很好用~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(bp netural network applied in electricity prediction)
    2009-08-31 09:47:08下载
    积分:1
  • MATLAB
    采用邻近插值法和双线性插值法图像进行缩放和旋转(In neighbor interpolation and bilinear interpolation image scaling and rotation)
    2014-12-04 00:36:07下载
    积分:1
  • 0500Hz_11.025kHz_16Bit
    fft spectrum audio file
    2011-12-14 21:50:22下载
    积分:1
  • PSDL
    jaringan saraf tiruan
    2011-12-21 00:46:19下载
    积分:1
  • VolatgeControl_PLL_1_1
    说明:  电压闭环控制逆变器外加一个锁相环控制,不错的示例( volatge control loop inverter)
    2011-03-15 15:19:49下载
    积分:1
  • Assignment-Sharp-3-Speech-Processing
    just to get my account activate in this forum
    2013-08-22 09:47:10下载
    积分:1
  • final
    通过遗传算法改进的人工势场法来实现静态环境下的路劲规划(Artificial potential field method improved by genetic algorithm to implement static environment of road planning)
    2015-05-04 15:17:15下载
    积分:1
  • Huffman
    This is matlab source files for implementing haffman codes
    2013-05-21 23:59:57下载
    积分:1
  • myperT4
    constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)
    2011-06-23 10:12:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载