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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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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------------------------------------------------- Program Plan: * Create a class Pizza * Define the variables * Provide methods to get and set these variables ------------------------------------------------- /*********************************************************************** The program Pizza.java creates a class Pizza and defines methods to get and set variables in the class ***********************************************************************/ Program: //creating class Pizza class
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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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offer proposals using numerical analysis to the WidgeCorp board‚ as well as my own. (CTU Online 2014) The advertising division at WidgeCorp is fond of knowing trends about the clients that utilize the 1-800 customer service lines for any inquiries/complications they may have. They have asked me to recommend three quantitative objects that ought to be tracked about every client that calls and/or their conduct about snack foods and specify whether the variables are continuous or discrete. We will begin
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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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Discrete Random Variables: Homework Exercise 1 Complete the PDF and answer the questions. |X |P(X = x) |X(P(X = x) | |0 |0.3 | | |1 |0.2 | | |2 | | | |3 |0.4 | | a. Find the probability that X = 2. b. Find the expected value. Exercise 2 Suppose that you are offered the following “deal.” You roll a die. If you
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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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improve the quality of education. The teacher is the only source of information during the class‚ but now using this system is more effective for students to improve their knowledge. Today‚ students learn in the most and to the great extent if they will learn it through doing it by themselves. By introducing this type of teaching strategies‚ E-Module for Discrete Structures with biometrics is made to enhance the quality of education and instruction inside the classroom
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Random matrices have fascinated mathematicians and physicists since they were first introduced in mathe- matical statistics by Wishart in 1928. After a slow start‚ the subject gained prominence when Wigner introduced the concept of statistical distribution of nuclear energy levels in 1950. Since then‚ random matrix theory has matured into a field with applications in many branches of physics and mathematics‚ and nowadays random matrices find applications in fields as diverse as the Riemann
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