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shanks
function [a,b,err] = shanks(x,p,q)
SHANKS Model a signal using Shanks method
----
Usage: [a,b,err] = shanks(x,p,q)
The sequence x is modeled as the unit sample response of
a filter having a system function of the form
H(z) = B(z)/A(z)
The polynomials B(z) and A(z) are formed from the vectors
b=[b(0), b(1), ... b(q)]
a=[1 , a(1), ... a(p)]
The input q defines the number of zeros in the model
and p defines the number of poles. The modeling error
is returned in err.
- 2012-04-18 09:58:03下载
- 积分：1
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gpml-matlab-v3.1-2010-09-27.tar
这是一个高斯分类算法的程序，有多种多元分类算法。(This is a gaussian classification algorithm of the program, a variety of multi-classification algorithm.)
- 2012-05-08 20:05:56下载
- 积分：1
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four-d-figure
针对四维图像原始数据矩阵通过matlab程序画图(4D figure)
- 2014-02-28 13:16:30下载
- 积分：1
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757002176
基于小波分析的信号奇异检测和去噪。。。。。。。。。。。。。。。(Based on wavelet analysis and signal singularity detection denoising. . . . . . . . . . . . . . .)
- 2010-05-08 22:57:24下载
- 积分：1
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NKmod_lin
basic dsge model in dynare
- 2014-11-27 07:32:32下载
- 积分：1
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1
说明： matlab使用垂直Sobel算子，自动选择阈值
[VSFAT Threshold]=edge(f, sobel , vertical )
边缘探测
figure,imshow(f),title( 原始图像 ),
显示原始图像
figure,imshow(VSFAT),title( 垂直图像边缘检测 )
显示边缘探测图像
使用水平和垂直Sobel算子，自动选择阈值
SFST=edge(f, sobel ,2)
figure,imshow(SFST),title( 水平和垂直图像边缘检测 )
显示边缘探测图像
使用指定45度角
Sobel算子滤波器，指定阈值
s45=[-2 -1 0 -1 0 1 0 1 2]
SFST45=imfilter(f,s45, replicate )
SFST45=SFST45>=2
figure,imshow(SFST45),title( 45度角图像边缘检测 )
显示边缘探测图像
(matlab I=rgb2gray(I0)
J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)
- 2013-12-18 15:42:14下载
- 积分：1
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talor6
使用泰勒算法设计的具有抑制旁瓣功能的雷达方向图(Using Taylor algorithm design direction of the radar chart)
- 2013-07-12 12:59:09下载
- 积分：1
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111
一个3机9九点的暂态稳定判定程序，非常好，希望对需要的人有用。(verry good!)
- 2011-09-16 09:33:58下载
- 积分：1
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FDTD_TE-TM-C-D
TM/TE照射无限长导体、介质柱的解析解MATLAB程序(TM/TE light infinitely long conductor, dielectric cylinder analytical solution of the MATLAB program)
- 2011-11-29 09:04:32下载
- 积分：1
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rastamat
MATLAB codes about rasta filter
- 2013-06-23 03:11:17下载
- 积分：1
