MATLAB is a numerical computing environment and proprietary fourth-generation programming language. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.

I am using MATLAB to solve equation using (syms) then evaluating the result. The program is working. However, each loop taking almost 23 second. Is there anyway that I can optimize program so it will work faster?

I used the below code

clear;clc;syms A B C D E ; R=((4*B*A)/((D-C)^2+(B+A)^2));R1=((4*B*A)/((D+C)^2+(B+A)^2));F1 = ellipticK(R);I1 = ellipticE(R);F2 = ellipticK(R1);I2 = ellipticE(R1);P= ((((A*B)^(1/2))/(2*E*(R^(1/2))))*(((2 - R)*F1) -... (2*I1)))-(((((A*B)^(1/2))/(2*E*(R1^(1/2)))))* ... (((2 - R1)*F2) - (2*I2)));P1=feval(symengine,'simplify',P,'IgnoreAnalyticConstraints');X=(1/B)*(diff(P1,D));X1=feval(symengine,'simplify',X,'IgnoreAnalyticConstraints');[B,D]= meshgrid(linspace(0.1,10),linspace(0.1,10));E=3;N1 = 10*rand(100000,1);N2 = 5*rand(100000,1);M(:)=0;for i=1:100000 tic A=N1(i);C=N2(i); F = matlabFunction(X1); B = F(A, B, C, D, E); In(:,:,i)=B(:,:); fprintf('%d\n ', i); tocend

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I am very new to image processing and Matlab. I am working with RGB image and used SLIC algorithm to generate superpixel for an image. By using regionprops to calculate the superpixel properties.

[Rcounts binlocations]=imhist(ImageRED);
[Gcounts binlocations]=imhist(ImageGREEN);
[Bcounts binlocations]=imhist(ImageBLUE);
Q1: I have 48 superpixels with Counts(R,G,B channels) it is giving me 256*1 double(most of them are zero). Can anybody explain how to refine them to get each superpixel histogram?

Q2: How can I compare and calculate the distance between two specific superpixel histograms?

Any help is greatly appreciated. Thanks in advance

I have a covariance matrix and I am using Matlab's chol function for cholesky decomposition. However, since my matrix is not a positive definite matrix. I am getting an error. How can I figure out which correlations/covariances in the matrix are leading to the problem.

how i can apply fuzzy logic for this problem? Or is there any other technique i can use for my problem?

Input : parameter values Output : (1) OLTP , (2) DSS , (3) % of OLTP and % of DSS

I have to classify between 3 classes as OLTP, DSS and mix type. if my input matches with OLTP or DSS type it return crisp class. if it matches with mix type it returns the percentage of OLTP and DSS

How can i apply fuzzy logic for this problem? Or is there any other technique i can use for my problem?

Input : parameter values Output : (1) OLTP , (2) DSS , (3) % of OLTP and % of DSS

I have to classify between 3 classes as OLTP, DSS and mix type. if my input matches with OLTP or DSS type it return crisp class. if it matches with mix type it returns the percentage of OLTP and DSS.

Two vehicles update their position using latitude and longitude using .csv file. Plot the graph for two vehicles in a single graph to detect the collision.

I have attached the file of Matlab output. How to detect the intersection points red dots. Whenever it detect the red dot at intersection alert message should be displayed. curveintersectionsexample.png

Hi, I am beginner in Matlab, need help or advise on how to do this? If i have 2 image in gallery (one basketball image and one badminton image)-Basketball.JPG/Badminton.JPG I created GUI. Then i am able to upload the one of the image. But how do i compare this upload image with the 2images in gallery. So that if uploaded image matches Basketball, it will display Basketball. and if uploaded image matches Badminton,it will display Badminton.

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in the following code I'm searching for a match of indexes between 2 files , if I found a match take -6,6 elements from the 1st file .

I need to save the found data as (1,13) . (data ) array shows the elements as I print it when I run the code but after finishing executing only the last element is saved .

earFilename = 'EAR_v1.txt';stateFilename = 'output_close_tags_video_1.txt';% read EAR values earfile = fopen(earFilename,'r'); formatSpec = '%d %f %f'; sizeA = [3 Inf];earVector = fscanf(earfile, formatSpec, sizeA);earVector = earVector';% read state file statefile = fopen(stateFilename,'r'); formatSpec = '%d %*s'; sizeA = [1 Inf]; stateVector = fscanf(statefile, formatSpec,sizeA); stateVector = stateVector';% create a dataset containing framenumber, EAR, statedataset = [earVector, -1*ones(size(earVector,1),1)];% for each positive state, +-6 frame are marked as positivedata=[];for i = stateVector' rowNumber = find(dataset==i); for j = -6:6 data=(rowNumber+j); disp(data)

I am using MATLAB 2009,I have a micro-structure image and I transformed into greyscale image and then to BW. Now I want to know the number of pixels along the scale bar (scale bar width is one pixel size), in order to calculate grain size. Please help me to find out How many pixels in the line of specified length with constant width of pixel size. using MATLAB. or suggest me other way to find the grain size from the microstructure image.
Thank you in Advance.

MATLAB is a numerical computing environment and proprietary fourth-generation programming language. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing capabilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.