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Stretch the dynamic range of the given 8-bit grayscale image using MATL...

Finance ASSIGNMENT HELP by MATLAB Solutions

  NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  , Finance Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Financial Management, simply means designing, categorizing, organizing, channeling and administering the finance related activities such as getting possession of the funds of the enterprise and consequently using. It means registering the general management principles to the enterprise’s financial resources. Finance Management talks about how and where money should be invested and the revenue management. It can be described as the subject that helps you in managing and minting money and it also elaborates how financial matters should be carried out in personal, corporate and public financing. Students, w

Add more simple spam filters

  What about rejecting all new threads, which contain Korean characters and the typical term "seven seven dot" which appear in the title? I'm aware that this request is naive and spammers will find another gap. But at least the current flood would be stopped.   The editors need 4 mouse clicks to report a message as spam and delete it. Then it takes about 15 seconds until this procedure is ready in my browser. Afterwards a new view on the main page of the forum appears, such that I have to click a 5th time to close it also.   It would be more efficient if the opinion of 2 editors is enough to exclude a specific user from posting temporarily until an admin decides how this person is treated.   Unfortunately the forum is not usable at the moment. NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tec

Clustering by kmean?

  Hi Everybody, I'm doing an algorithm that allow me find the typical day and/or week of solar irradiance from a spreadsheet wiht hourly irradiation values from one year.   I'm having some issues with my algorithm, this should do the following: 1-read a spreadsheet of excel 2-calculate the mean of column "f" 3-calculate the kmean 4-graph a point of the mean of colunm "f" 5-graph all the values in column "f"   The point "3" does not work, because it send me a message of error.   This is the error message than Matlab send me,   Error using kmeans (line 262) X must have more rows than the number of clusters.  This is very strange, so that if i click over it open another script of MATLAB, if you can note my script does not has 262 code lines.   Error in Untitled4 (line 12) idx=kmeans(8759, 52);   %Algoritmo de clusterización kmeans para determinar de un año %una semana tipica de consumo clear all close all   %carga la hoja de datos f=xlsread(

Neural Network Time Series Prediction - changing the inital state

  Hello, I'm working currently with prediction-problems for dynamical systems, e.g. single pendulum with friction. At the moment I'm testing neural networks for time series predictions, although my knowledge is very basic. My understanding of neural networks in light of dynamical systems is that they are working like a flexible state-space-model. Training the neural network with some testdata should result in an accurate state-space-model, which can be used for predictions, am I right?   Lets say, I split my testdata into two sections. The first one will be used for training purpose and the second one for validation (in reference to my attached file). The prediction gives good results on the validation data, going forward, we are using the same net, but vary the inital state, here the inital angle of the pendulum. Is it even possible to vary the inital state? Does the net just predict on a one-off basis of the training data?   I'm referring to   ANN Examples  ,especially ex

How to use the gaussian process regression function in matlab 2015b ?

  I'm trying to reproduce the picture at the end of the documentation: <http://www.mathworks.com/help/stats/gaussian-process-regression-models.html>  the one on the left.   However, I cant quite do it.   This is what I have so far:   fun = @(x) x.*sin(x); xx = linspace(0,10,100)'; yy = fun(xx); nd = 5; xd = linspace(1,9,nd)'; yd = fun(xd); gp = fitrgp(xd,yd,'KernelFunction','squaredexponential'); figure(1); clf plot(xx,yy, 'g-') hold on plot(xx,predict(gp,xx), 'r-') However this doesn't work. It looks like the beta parameter is set at a constant and you can change the basis function used. But, why use Gaussian Processes if you have to provide it with the function you're trying to emulate? I'm trying to use GPs to model simulation data and the process that generate them can't be written as a nice function (basis function). NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for s

Viewing a cross validated classification tree in the "Classification Tree Viewer"

  Hi,   I am using the cross validation method 'crossval' as explained in the matlab help;   cvmodel = crossval(model) creates a partitioned model from model, a fitted classification tree. By default, crossval uses 10-fold cross validation on the training data to create cvmodel.   I have already produced the classification tree with M being a matrix of variables and A being a column vector of classification;   tree = ClassificationTree.fit(M, A); and can view this tree using 'view' view(tree,'mode','graph') Previously I had split matrix M into training and sample groups however now I would like to use the cross validation method 'crossval' to produce a more accurate accuracy prediction cvtree = crossval(tree); I can then use kfoldLoss and kfoldPredict to determine the effectiveness of the tree however I cannot determine how to 'view' the tree in any sense. I have attempted the following; view(cvtree) and view(cvtree,'mode','gr

Noise samples of gaussian mixture distribution

  I'm new to matlab. I want to generate noise samples of Gaussian mixture with PDF= sqrt((u.^3)./pi).*exp(-u.*(x.^2)) + sqrt((1-u)^3/pi).*exp(-(1-u).*x.^2);   The length of noise sample is (1,200) Please help me out. NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Ok, so you have formulated what seems to me to be a rather strange mixture model.   You have two modes, with variances that are related to each other, the mean of both terms is zero.   So, if the PDF is:   PDF = sqrt((u.^3)./pi).*exp(-u.*(x.^2)) + sqrt((1-u)^3/pi).*exp(-(1-u).*x.^2) So we have two terms there. syms u positive syms x real Look at the first term: pdf1 = sqrt((u.^3)./pi).*exp(-u.*(x.^2)); int(pdf1,x,[-

How do I use Image projections in specific computations

  I want to decide the language of the text image based on the Hor. projection. I computed the Hor projection as shown in the following figures. So how can I find that if the image has an extreme horizontal peak (such as in figure 1 and 2), so the text belongs to Language X and if the image has more than one peaks (such as in figure 3 and 4), so it belongs to language Y.   NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Counting the number of peaks, and using that to infer written language seems a very broad brush to apply to the problem. As well, it is a difficult thing to measure, since on some samples there may easily be a second peak. Looking at the second figure, I see it mi