'Zeros 1' presentation slideshows

Matlab

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Chapter 2. Discrete-Time Signals and Systems

Chapter 2. Discrete-Time Signals and Systems. Main Contents. Important types of signals and their operations Linear and shift-invariant system Easier to analyze and implement The convolution and difference equation representations

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Exploring the Universe

Exploring the Universe. 8th Grade Science School Year 2003-2004 Luther Burbank School Mr. Frank Canzolino Room 204. 8 th Grade Science. Week 15.1 Day 71 Monday December 1, 2003. Light Years Measuring Unimaginable Distances.

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Lab 2 of COMP 319

Lab 2 of COMP 319. Data and File in Matlab. Lab tutor : Shenghua ZHONG Email: zsh696@gmail.com csshzhong@comp.polyu.edu.hk Lab 2: Sep. 28, 2011. Outline of Lab 2. Review of Lab 1 Matlab vectors and arrays Matlab file (.m) building and saving

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L16. Cell Arrays

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South China University of Technology

South China University of Technology. Ising model and Stochastic optimization. Xiao- Bao Yang Department of Physics. www.compphys.cn. Ordered Structures. AuCu Alloy. LiC 6. BC 3. H x C y. Ising model. The simplest Ising model assumes an interaction only between nearest neighbors:.

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???? MATLAB ??????????

???? MATLAB ??????????. ?????? 1. ???? matlab 6.5 ????? 2. ???? matlab 6.5 ?????????????? 3. ?? matlab 6.5 ??????? 4. ???? M-File ??????????. ????????? ????????????????????????. ????. ??????? 1 ? zeros ? 2 ? ones ? 3 ? rand ? 4 ? randn ?

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CPET 355

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Chapter 4 More Nonlinear Functions and Equations

Chapter 4 More Nonlinear Functions and Equations. Book cover will go here. Real Zeros of Polynomial Functions. 4.4. Understand the factor theorem Factor higher degree polynomials Analyze polynomials having multiple zeros Solve higher degree polynomial equations

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Pattern recognition lab 4

Pattern recognition lab 4. TA : Nouf Al-Harbi :: nouf200@hotmail.com. Lab objective:. Illustrate examples on the normal distribution by making the following functions : compute the normal distribution draw the normal distribution draw two normal distribution

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ENG004 ALGORITHMS & INT. TO PROGRAMMING

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Matlab ???????

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2.5 Zeros of Polynomial Functions

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Pattern recognition lab 3

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Pattern recognition lab 6

Pattern recognition lab 6. TA : Nouf Al-Harbi :: nouf200@hotmail.com. Lab objective:. Applying General Bayesian Decision Theory Classify an input feature value into one of three classes. Quick review of General Bayesian Decision Theory. General Bayesian Decision Theory. Quick review.

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>> n=0:3 n = 0 1 2 3 >> mod(n-2,4) ans = 2 3 0 1 >> x=1:4 x =

>> n=0:3 n = 0 1 2 3 >> mod(n-2,4) ans = 2 3 0 1 >> x=1:4 x = 1 2 3 4 >> x(mod(n-2,4)+1) ans = 3 4 1 2. >> n=0:10; x=10*(0.8).^n; >> y=x(mod(-n,11)+1);

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2.5 Zeros of Polynomial Functions

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2-D Arrays (Matrices)

2-D Arrays (Matrices). Creating 2-D Arrays. m = [ 11 12 13 21 22 23 31 32 33]; or >> m = [11 12 13; 21 22 23; 31 32 33] m = 11 12 13 21 22 23 31 32 33. Accessing Elements. >> m(2, 1) ans = 21 >> m(2, 3) ans = 23 >> m(4, 1)

239 views • 12 slides