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magnetic
一个MATLAB的GUI界面编程实例，类似于一般的软件界面，开发环境MATLAB7.4（R2007b）(A MATLAB-GUI interface for programming examples, similar to the general software interface, development environment MATLAB7.4 (R2007b))
- 2010-01-11 11:22:37下载
- 积分：1
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redextract
可以提取出图像中的红色信息，坐标空间变换（直角坐标系到极坐标系），彩色模型变换（RGB到HSI）(Red information can be extracted in the image coordinate space transform (Cartesian coordinates to polar coordinates), color model transformation (RGB to HSI))
- 2011-06-28 11:40:08下载
- 积分：1
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haarwavelet
haarwavelet.it is code for haar wavelet in image prossecing.
- 2009-07-13 16:53:26下载
- 积分：1
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Untitlnnned
一个关于卡尔曼滤波的程序，自己编的，希望对初学matlab的同学有用(A Kalman filter program, compiled hope Matlab beginner students)
- 2012-05-21 17:02:43下载
- 积分：1
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c
说明： This is a time series analysis matlab under the ARMA model and prediction procedures.
ARMA algorithm by using a series of data to predict and analyze the prediction rule
- 2011-07-26 20:19:28下载
- 积分：1
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face1
给予主量分析人脸识别pca
matlab
有注释(giving Analysis of a Face Recognition pca Matlab Notes)
- 2007-06-10 10:31:32下载
- 积分：1
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WCDMA
modem SIM5218 mobile network communication
- 2013-09-25 02:23:03下载
- 积分：1
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f-eddeec
this fuzzy based EDDEEC protocol for wireless sensor networks. hope those who are working research work in this field, will surely find helpful...
- 2015-03-02 23:58:37下载
- 积分：1
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alamouti_new
alamouti仿真程序供大家分享,有什么问题就提出来哈(simulation program for the sharing and what problems they proposed to Kazakhstan)
- 2006-05-28 11:23:37下载
- 积分：1
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RDPTA
Algorithm Given are P training pairs {X1,d1,X2,d2....Xp,dp}, where Xi is (n*1) di is (n*1) No of Categories=R. i=1,2,...P Yi= Augmented input pattern( obtained by appending 1 to the input vector) i=1,2,…P In the following, k denotes the training step and p denotes the step counter within the training cycle Step 1: c>0 , Emin is chosen, Step 2: Weights are initialized at w at small values, w is (n+1)*1. Counters and error are initialized. k=1,p=1,E=0 Step 3: The training cycle begins here. Input is presented and output computed: Y=Yp, d=dp Oi=f(wtY) for i=1,2,….R
Step 4: Weights are updated: wi=wi+1/2c(di-oi)Y for i=1,2,…..R. Step 5: Cycle error is computed: E=1/2(di-oi)2+E for i=1,2,…..R. Step 6: If p<P then p=p+1,k=k+1, and go to Step 3: Otherwise go to Step 7. Step 7: The training cycle is completed. For E=0,terminate the training session. Outputs weights and k. If E>0,then E=0 ,p=1, and enter the new training cycle by going to step 3.
- 2014-11-06 11:12:37下载
- 积分：1
