DISCUSSION: After using both languages‚ Microsoft Excel and MATLAB (MATrix LABoratory)‚ on the same module experiments from 1 to 4‚ I observed the following: * For Microsoft excel‚ * It uses spreadsheet application where each elements or data values are distributed in cells. * Most statistical computations are easy to solve due to the manner of data organization where data are inserted on cells arranged in numbered rows and letter-named columns. * It is easy to plot
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ENG EK 127 Fall 2012 Project # 3 Project development by Josh Koerpel Instructions: You may work alone‚ or in groups of 2 or 3. You are encouraged to work with classmates in your lab section. This project is due on Wednesday‚ December 12th‚ by 7:00PM. Please note that there are only 44 PCs in the lab and over 240 students in the class. Not everyone can be in the lab at the last minute! You will be graded on the correctness of your solution‚ and on your programming style. This includes using loops
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Our objective is to design a close-set system that would recognize five designated speakers by using some of the DSP techniques we learned in MATLAB. To do this‚ we have a pre-recorded template that stores each speaker’s distinctive features. We will use this template to do a mix and match with the speakers in our system. Speaker identification refers to the process of identifying an individual by extracting and processing information from his speech. This is a fascinating area of research.
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EK127 Matlab Project 1 Yiming Zhang (C1) Folder name：Yiming_Zhang ------------------------------------------------- PART A: Write a function subEncrypt such that will encode a message using the simple substitution algorithm discussed in the introduction. function encrypt=subEncrypt( plaintxt‚key ) %this function help to encode a message using the simple substitution algorithm %Your plaintxt should be entered in all capitals numkey=(65:90); %stand for Letters A~Z encrypt=zeros(1
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System Simulation in Matlab/Simulink Exercise 1: Matlab part 1) Plot the function yx=2∙x-x2+sin(2∙x)∙cos(x) function problem1 (x) y=2.*x-x.^2+sin(2.*x).*cos(x) plot(x‚y‚’r’) end 2) Print n! from n=2 to 20 function problem2 for k=2:20 n=factorial(k) end 3) Make a function that calculates RSS for a give vector. function [rss]=problem3(a) rss=sqrt(a*a’); end 4) Make a function that check to see if a number is a prime. function problem4(n) flag=0; for k=[2:1:(n/2)]
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ing Solving ODEs with Matlab: Instructor’s Manual L.F. Shampine and I. Gladwell Mathematics Department Southern Methodist University Dallas‚ TX 75275 S. Thompson Department of Mathematics & Statistics Radford University Radford‚ VA 24142 c 2002‚ L.F. Shampine‚ I. Gladwell & S. Thompson 2 Contents 1 Getting Started 1.1 Introduction . . . . . . 1.2 Existence‚ Uniqueness‚ 1.3 Standard Form . . . . 1.4 Control of the Error . 1.5 Qualitative Properties . . . . . . . . . . . . and Well-Posedness
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mm1 simulation in matlab clc;clear; ST_Idle=0; ST_Busy=1; EV_NULL=0; EV_Arrive=1; EV_Depart=2; EV_LEN=3; Q_LIMIT=1000000; % next_event _type=[]; % num_custs _delayed=[]; % num_delays _count=[]; % num_events=[]; % num_in _queue=[]; % server_status=[]; % area_num _in _queue=[]; % area_server _status=[]; % mean_interarrival=[]; % mean_service=[]; % clock=[]; % time_last _event=[]; % total_of _delays=[]; time_arrival=[]; time_next _event=zeros(1‚EV_LEN);
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Analog & Digital Communication ____________________________________________ ___________PROJECT REPORT___________ CDMA Transmission Model An Overview in Matlab SUBMITTED TO: Engr. Abdul Basit SUBMITTED BY: Nadeem Raza 09-ECT-05 Amir Mehmood 09-ECT-22 Mohammad Shoaib 09-ECT-29 Saad Najaf Khan 09-ECT-38 Date: 15th June‚ 2012 UNIVERSITY OF ENGINEERING AND TECHNOLOGY TAXILA SUB CAMPUS CHAKWAL Introduction: CDMA is modulation technique to transmit data over a whole frequency
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------------------------------------------------- %DATA %we create data as vectors of length Ns symbols %and thus use MATLAB’s vector processing capabilities %in addition to for loops (since too long vectors are problems %to some versions of MATLAB) Ns=100; data=2*round(rand(Ns‚1))-1; %data is random and generated
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3D Gradient Vector Flow Matlab Implementation Gradient Vector Flow (to the right) calculated on the volume to the left. Gradient Vector Flow (GVF) is a feature-preserving diffusion of gradient information. It was originally introduced by Xu and Prince to drive snakes‚ or active contours‚ towards edges of interest in image segmentation. But GVF is also used for detection of tubular structures and skeletonization. In this post I present a simple Matlab implementation of GVF for 3D images which
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