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Description: ％ [BestPop,Trace]=fmaxga(FUN,LB,UB,eranum,popsize,pcross,pmutation)
％ Finds a maximum of a function of several variables.
％ fmaxga solves problems of the form:
％ max F(X) subject to: LB <= X <= UB
％ BestPop--------最优的群体即为最优的染色体群
％ Trace----------最佳染色体所对应的目标函数值
％ FUN------------目标函数
％ LB-------------自变量下限
％ UB-------------自变量上限
％ eranum---------种群的代数,取100--1000(默认1000)
％ popsize--------每一代种群的规模；此可取50--100(默认50)
％ pcross---------交叉的概率,此概率一般取0.5--0.85之间较好(默认0.8)
％ pmutation------变异的概率,该概率一般取0.05-0.2左右较好(默认0.1)
％ options--------1×2矩阵,options(1)=0二进制编码(默认0),option(1)~=0十进制编码,option(2)设定求解精度(默认1e-4)- [BestPop, Trace] = fmaxga (FUN, LB, UB, eranum, popsize, pcross, pmutation) Finds a maximum of a function of several variables. Fmaxga solves problems of the form: max F (X) subject to : LB <= X <= UB BestPop-------- optimal chromosome groups is the best group Trace---------- chromosome corresponding to the best objective function value FUN------------ objective function LB------------- variable lower limit since the UB------------- variable upper limit eranum--------- populations algebra, take 100- 1000 (default 1000) popsize-------- population size of each generation this desirable 50- 100 (default 50) pcross--------- crossover probability, the probability of a general check 0.5- 0.85 between the better (default 0.8) pmutation------ mutation probability, the probability of 0.05 general admission better about-0.2 (default 0.1) options-------- 1 × 2 matrix, options (1) = 0 binary code (default 0), option (1) ~ = 0 decimal coding, option (2 ) set accuracy (default 1e-4)
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Size: 3072 |
Author: mmcc |
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Description: BNB20 Finds the constrained minimum of a function of several possibly integer variables.
％ Usage: [errmsg,Z,X,t,c,fail] =
％ BNB20(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options,P1,P2,...)
％
％ BNB solves problems of the form:
％ Minimize F(x) subject to: xlb <= x0 <=xub
％ A*x <= B Aeq*x=Beq
％ C(x)<=0 Ceq(x)=0
％ x(i) is continuous for xstatus(i)=0
％ x(i) integer for xstatus(i)= 1
％ x(i) fixed for xstatus(i)=2
％-BNB20 Finds the constrained minimum of a fu nction of several possibly integer variables. % Usage : [errmsg, Z, X, t, c, fail] =% BNB20 (fun, x0, xstatus, xlb, xub, A, B, Aeq, Beq, nonlcon. settings, options, P1, P2, ...)%% BNB solves problems of the form : Minimize% F (x) subject to : xlb
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Size: 6144 |
Author: 冯颖 |
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Description: 利用ＭＡＴＬＡＢ实现了对测量中的平面网，高程网和边角网的平差，是测量中比不可少的程序．-Realize the use of MATLAB on the measurement plane net, nets and corner elevation adjustment network is the measurement procedures than indispensable.
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Size: 440320 |
Author: luozhongquan |
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Description: 1. this function is for image (width=176, hight=144) only. but you can modify the related value to fit yours.
2. it is used to evaluate the motion vector between the Nth image and N-1th image.
3. it use Three Steps search algorithm.
4. this algorithm finds the closest pixel near the original pixel in three times.-1. This function is for image (width = 176, hight = 144) only. But you can modify the related value to fit yours.2. It is used to evaluate the motion vector between the Nth image and N-1th image.3 . it use Three Steps search algorithm.4. this algorithm finds the closest pixel near the original pixel in three times.
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Size: 94208 |
Author: samk |
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Description: 基于OFDM的无线宽带系统仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator.
Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.
System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.-OFDM-based wireless broadband system simulation It contains mainly two parts, ie link-level simulator and system-level simulator.Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx . Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.System- level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.
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Size: 256000 |
Author: zhangli |
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Description: This program finds the edges of a color image by converting the original image to YCbCr color space. Basic edge detection technique used is canny. -This program finds the edges of a color image by converting the original image to YCbCr color space. Basic edge detection technique used is canny.
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Size: 7168 |
Author: zhangpeng |
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Description: This GPS in matlab calculatePseudoranges finds relative pseudoranges for all satellites
listed in CHANNELLIST at the specified millisecond of the processed
signal. The pseudoranges contain unknown receiver clock offset. It can be
found by the least squares position search procedure. -This is GPS in matlab calculatePseudoranges finds relative pseudoranges for all satellites listed in CHANNELLIST at the specified millisecond of the processed signal. The pseudoranges contain unknown receiver clock offset. It can be found by the least squares position search procedure.
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Size: 1024 |
Author: Nelson Loh |
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Description: 简单的模板程序配准，匹配的效果基本上可以满足一般的要求。实用，简单。-two functions used to implement template matching. the program finds the template image inside the target image using correlation.
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Size: 9216 |
Author: wangwei |
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Description: This m-file finds the periodic ACF of all the m-sequences of length 31.In this program m-sequences of length 31 are generated and its periodic Autocorrelation function is plotted-This m-file finds the periodic ACF of all the m-sequences of length 31.In this program m-sequences of length 31 are generated and its periodic Autocorrelation function is plotted..
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Size: 2048 |
Author: Rafal |
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Description: Program that finds the 16 green dots in a 3d grid for camera calibration and assossiotes with the metric measures in a txt file, for later use in calibration procedure
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Size: 20677632 |
Author: Guilherme |
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Description: Prim s algorithm is an algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized.
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Size: 1024 |
Author: kenny |
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Description: 至少输入五个点，得到最小二乘模拟椭圆，最后得到椭圆左右焦点以及主轴与x轴夹角等具体参数-[Xc,Yc,A,B,Phi,P]=ELLIPSEFIT(X,Y) finds the least squares ellipse that
best fits the data in X and Y. X and Y must have at least 5 data points.
Xc and Yc are the x- and y-axis center of the ellipse respectively.
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Size: 2048 |
Author: nancy |
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Description: SP_GA Traveling Salesman Problem (TSP) Genetic Algorithm (GA)
Finds a (near) optimal solution to the TSP by setting up a GA to search
for the shortest route (least distance for the salesman to travel to
each city exactly once and return to the starting city)
-SP_GA Traveling Salesman Problem (TSP) Genetic Algorithm (GA)
Finds a (near) optimal solution to the TSP by setting up a GA to search
for the shortest route (least distance for the salesman to travel to
each city exactly once and return to the starting city)
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Size: 3072 |
Author: gao |
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Description:
Edge Detection
This demo finds the edges of objects in a video stream using the Prewitt method. You can double-click the Edge Detection block and adjust the Threshold parameter while the simulation is running. The higher you make the threshold, the smaller the amount of edges the demo finds in the video. This demo also illustrates how to use the Compositing block to overlay the edges on the original video frames.
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Size: 6144 |
Author: radim.rh |
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Description: This finds size of nano particle, via some image processing technique. we have to enter the minimum and maximum diameter of particles to get download-This finds size of nano particle, via some image processing technique. we have to enter the minimum and maximum diameter of particles to get download....
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Size: 4917248 |
Author: pulak |
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Description: Function used by PSOLA speech modification technique. Finds exact point of pitch pulses in speech.
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Size: 2048 |
Author: zxMaca |
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Description: Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip-Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip
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Size: 118784 |
Author: Yashil |
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Description: Description
This function finds the velocity of a 2-dimensional planar wave from at least 2 sensors, by specifying its location (x,y) or (lon,lat) and its respective arrival time.
It returns the speed and direction (or tracking if coordinates were given):
>> [VEL,DIR] = velocity_triangulation(x,y,time,TOL)
where TOL is a tolerance time. You may get a figure with the results, like the one shown in the screenshot. Just take a look to the optional arguments.
Enjoy it!
Any comments and bugs reports will be very appreciated!
MATLAB release MATLAB 7.7 (R2008b) -Description
This function finds the velocity of a 2-dimensional planar wave from at least 2 sensors, by specifying its location (x,y) or (lon,lat) and its respective arrival time.
It returns the speed and direction (or tracking if coordinates were given):
>> [VEL,DIR] = velocity_triangulation(x,y,time,TOL)
where TOL is a tolerance time. You may get a figure with the results, like the one shown in the screenshot. Just take a look to the optional arguments.
Enjoy it!
Any comments and bugs reports will be very appreciated!
MATLAB release MATLAB 7.7 (R2008b)
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Size: 7168 |
Author: Józef |
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Description: ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
-Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach.
Basic idea:
The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions.
After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour.
Literature:
- Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I
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Size: 10190848 |
Author: 谢冉 |
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Description: distance relay- finds impedance value of transmission line
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Size: 9216 |
Author: manish |
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