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. From speech
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MATLAB Parallel Computing John Burkardt (ARC/ICAM) & Gene Cliff (AOE/ICAM) Virginia Tech .......... FDI Fall Short Course: Introduction to Parallel MATLAB at Virginia Tech http://people.sc.fsu.edu/∼burkardt/presentations/fdi matlab 2009.pdf .......... ARC: Advanced Research Computing AOE: Department of Aerospace and Ocean Engineering ICAM: Interdisciplinary Center for Applied Mathematics 09 September 2009 Burkardt MATLAB Parallel Computing MATLAB Parallel Computing: Some Announcements
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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 correctly‚ writing useful comments‚ etc. Follow the Programming Style Guidelines at the end of the chapters! You will submit your solution both electronically and in person. Hand in a document consisting of a typed cover page‚ your solution‚
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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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REAL TIME IMAGE PROCESSING APPLIED TO TRAFFIC-QUEUE DETECTION ALGORITHM V.Pranavi*1‚vasapranavi@gmail.com G.Kavya*2‚g.kavya21@gmail.com Mathuri Venkata Subba Rao Engineering College‚ Nadergul‚ Hyderabad-5000097 ABSTRACT: This paper primarily aims at the new technique of image processing used to solve problems associated with the real-time road traffic control systems. There is a growing demand for road traffic data of all kinds increasing congestion problems and problems associated with
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Symbolic processing is the most powerful feature of matlab. We can solve even most complex equations very easily in matlab that are very difficult to solve by hand. Matlab performs symbolic processing to obtain answers in the form of expressions. Symbolic processing is the term used to describe how a computer performs operations on mathematical expressions. To improve engineering designs by modeling it with mathematical expressions that do not have specific parameter values are very difficult to
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LITERATURE REVIEW 3.1 IMAGES An image may be defined as a rectangular array of pixels. The pixel of a grayscale image is a nonnegative integer interpreted as the intensity (brightness‚ luminosity) of the image (Deever and Hemami‚ 2003). It is a picture that has been created or copied and stored in electronic form. An image can be described in terms of vector graphics or raster graphics . An image stored in raster form is sometimes called a bitmap (Margaret‚ What is image? - Definition from WhatIs
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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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I Sr. No. Topic 1. 2. 3. 4. 5. 6. To perform sampling and explain the concept of aliasing using MATLAB. To perform convolution between two continuous time signals using MATLAB. To perform correlation and autocorrelation using programming in MATLAB. To perform Fourier Series Analysis and Find Fourier coefficients from a complex signal in MATLAB. To plot frequency response of LPF‚ HPF‚ BPF filters in MATLAB. *To design and realize on a breadboard MOD 10 UP/DOWN Counter. 7. *To design and realize
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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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