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phase_syn_beamforming1
测试波束成形的相位是否一致,测试结果说明了问题。(Test the phase of beamforming are same or not.the results are proved to be right.)
- 2011-10-05 21:19:20下载
- 积分:1
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RBFNN
Three function for RBF neural network, using OLS,Rand and SGA
function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol)
p 為輸入資料點,N×K矩陣,N是輸入資料維度,K是資料點數
t 為目標輸出值,1×K矩陣
tol 為指定容忍度或正確率
centers選定中心點,N×nc矩陣
sigma為 ? 值
W為輸出層權重,nc×1矩陣
yh為網路輸出值,1×K矩陣
rmse 為目標輸出值與網路輸出值之RMSE
- 2009-12-10 10:25:35下载
- 积分:1
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gauss
说明: 用c产生一个高斯噪声
用了中值定理的内容(To generate a Gaussian noise with c
With the contents of the mean value theorem)
- 2010-03-24 09:44:31下载
- 积分:1
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slope_adapt_filter
实现对InSAR复相位信号进行基于局部频率估计的“斜坡自适应(slope-adapt)滤波”
此滤波方法特别适用于InSAR相位图滤波,能在最大限度保持有用信息的条件下滤除各种噪声。(A matlab function of Slope-adapt-filter for InSAR phase filtering.
It is based on local frequency estimation.)
- 2009-03-21 17:26:21下载
- 积分:1
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output_of_DCT_in_image_fusion
u can calculate DCT
clc
inp = imread( Im1.jpg )
inp1 = imread( Im2.jpg )
A = double(inp(:,:,1))
B = double(inp1(:,:,1))
A1=double(blkproc(A,[8 8], dct2 ))
B1=double(blkproc(B,[8 8], dct2 ))
[r,c] = size(A1)
r1 = []
for i=1:r
for j=1:c
if A1(i,j) > B1(i,j)
r1(i,j)=A1(i,j)
else
r1(i,j)=B1(i,j)
end
end
end
r1= double(r1(:,:,1))
C=blkproc(r1,[8 8], idct2 )
round(C)
C1=idct2(r1)
figure
imshow(uint8(C))
figure
imshow(uint8(C1))
imwrite(uint8(C), dct8x8min.jpg )
- 2011-01-09 23:26:05下载
- 积分:1
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histogram-with-C-language
C语言编写的直方图求法matlab程序,带详细解释和所需图片(histogram with C language
)
- 2011-10-08 13:40:52下载
- 积分:1
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伪谱法地震波数值模拟pseudo-spectral-method
伪谱法地震波数值模拟,通过伪谱法对弹性波进行正演模拟(pseudo-spectral method seismic wave simulation)
- 2014-01-16 19:35:33下载
- 积分:1
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yuandaima
应用matlab,通过对原有图像去噪算法的改进,实现效果更好的图像去噪。(Application of matlab, the adoption of the original image denoising algorithm to achieve better image denoising effect.)
- 2009-04-23 11:26:52下载
- 积分:1
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采用小波进行图像消噪
数字图像在产生过程中经常会受到噪音污染。因此,对于数字图像应该对其进行去噪音处理。在传统的基于傅里叶变换的信号去噪音方法中,可以使得信号和噪音的频带重叠部分尽可能的小,这样就可以在频域通过时,不需改变滤波方法而将信号和噪音分隔开来。但是,如果信号和噪音的频域重合时,用该方法进行噪音处理的效果就比较差。(digital image in the selection process will be subject to regular noise pollution. Therefore, the digital image should be carried out to deal with the noise. Based on the traditional Fourier Transform method of signal to noise, can result in a signal and noise bands overlap small as possible, so it can be adopted in the frequency domain, the need to change methods of filtering the signal and noise to separate. However, if the signal and noise in the frequency domain coincidence, the method for dealing with the effects of noise on the relatively poor.)
- 2005-07-12 11:28:35下载
- 积分:1
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EXP6
MATLAB PROGRAM FOR INTEGRATED STATE FEEDBACK AND STATE OBSERVER
- 2013-10-23 01:38:23下载
- 积分:1