AP Induction Week Course Introduction to Engineering Computation Laboratory Manual MATLAB programming Department of Engineering Science MATLAB Laboratory Manual Contents Laboratory 1: An introduction to MATLAB ............................................................................................ 2 Laboratory 2: Debugging‚ Functions and Problem Solving ............................................................22 Laboratory 3: Logical Operators‚ Conditional Statements and Loops
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INTRODUCTION TO MATLAB © Dr. James S. Kang‚ Professor‚ ECE Department‚ Cal Poly Pomona Opening MATLAB Start → Programs → MATLAB → R2010a → MATLAB R2010a or double click on icon ( ). Slightly different for different versions and operating systems. The MATLAB window opens up as shown below. Depending on Desktop options‚ the window looks different. Set the Current Folder on top of the screen. Working on Command Window We are demonstrating the use of Command Window by solving HW Problem 1.9 1.9 The
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Using Matlab to Execute a Genetic Algorithm Optimization of Two Variable Function The function to be optimized is given by: [pic] The maximum value of this two variable function is desired‚ however Matlab’s gatool finds the minimum of fitness functions and so as in the previous example the function must be altered as follows: [pic] Now we must enter this function‚ as before‚ into a Matlab function file. Start Matlab and change the working directory to your Knowledge
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CONTENTS: 1)Experiment 1: INTRODUCTION WITH MATLAB SOFTWARE 2) Experiment 2: GENERATION OF BASIC CONTINUES SIGNALS / BASIC DISCRETE SIGNALS 3) Experiment 3: IMPULSE RESPONSE OF AN LTI SYSTEM 4) Experiment 4: CONVOLUTION OF TWO SEQUENCE AND PROPERTIES OF CONVOLUTION 5) Experiment 5: CORRELATION- AUTOCORRELATION 6) Experiment 6: read and display digital image using MATLAB 7) Experiment 7: remove noise using spatial filters. 8) Experiment 8: edge detection using quick mask. 9) Experiment 9: histogram
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College of Engineering ELECTRONICS AND COMMUNICATIONS ENGINEERING NDC Compound‚ *Anonas* St. Sta. Mesa‚ Manila {draw:line} Research Work with Defense Submitted By: Group 3 - Alpha Signal Rho BSECE IV-1 Leader : SANTOS‚ Ralph Rhyan G. Members: BELANO‚ Gracielle D. ESPINOSA‚ Joey Q. HERNANDEZ‚ Jan Roldan B. MATIC‚ Millicent G. RIVO‚ Sarah Ezekiel M. VILLENA‚ Kane Dave R Engr. Gerhard P. Tan Instructor Introduction It is known that our fast-paced
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3217 DECEMBER 9‚ 2008 WILLIAM E. BRUNS SHARON M. BRUNS SUSAN HARMELING Merrimack Tractors and Mowers‚ Inc.: LIFO or FIFO? Ricardo “Rick” Martino‚ president and chief operating officer of Merrimack Tractors and Mowers‚ Inc.‚ of Nashua‚ New Hampshire‚ felt that his job had grown much more complicated during 2007 and 2008. Merrimack was a major regional manufacturer and seller of large commercial grass mowers based on a design developed by his grandfather in the years after World War II
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| |Programme |Bachelor of Computer Science (BCS) | |Name of Course / Mode |Discrete Mathematics | |Course Code |CSC 1700 | |Name (s)
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Section 2.2 Matrices in Matlab 75 2.2 Matrices in Matlab You can think of a matrix as being made up of 1 or more row vectors of equal length. Equivalently‚ you can think of a matrix of being made up of 1 or more column vectors of equal length. Consider‚ for example‚ the matrix 1 2 3 0 A = 5 −1 0 0 . 3 −2 5 0 One could say that the matrix A is made up of 3 rows of length 4. Equivalently‚ one could say that matrix A is made up of 4 columns of length 3. In either model‚ we have 3 rows
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0 >> disc(m) ans = 0 >> x1(m) ans = 0 >> X=[1 3 -5 -1]’; >> A=[-2 1 00; 3 4 7 -2; 1 0 0 1; 6 7 -2 0; 5 3 1 0]; ??? Error using ==> vertcat CAT arguments dimensions are not consistent. >> A=[-2 1 0 0; 3 4 7 -2; 1 0 0 1; 6 7 -2 0; 5 3 1 0]; >> [m n]= size(A); >> Y=zeroes(5‚1); ??? Undefined function or method ’zeroes’ for input arguments of type ’double’. >> Y=zeros(5‚1); >> for k =1:m for l=1:n Y(k)=Y(k)+A(k‚l)*X(l); end end >> Y Y =
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Introduction to Programming in MATLAB 6.094 Lecture 1: Variables‚ Scripts‚ and Operations Danilo Šćepanović IAP 2010 Course Layout • Lectures 1: 2: 3: 4: 5: Variables‚ Scripts and Operations Visualization and Programming Solving Equations‚ Fitting Images‚ Animations‚ Advanced Methods Optional: Symbolic Math‚ Simulink Course Layout • Problem Sets / Office Hours One per day‚ should take about 3 hours to do Submit doc or pdf (include code‚ figures) No set office hours but available
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