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Unformatted text preview: WINTER 2009 EE 102 WEEPAR (WEEKLY PREVIEW AND REVIEW) N. Levan 1 1 levan@ee.ucla.edu 1 2 Can WEEPAR Help You? Yes It Can! WEEPAR is intended for you (if you prefer): (i) to read before each Lecture (i.e., Preview), and (ii) to find out what was discussed in each class (i.e., Review) which may or may not be found in your own Notes! 3 Weekly Topics 2 GENERAL OUTLINE The course is divided into 5 Parts: I. Introduction. Systems: IPOP Description (IPOPD); Signals: Time Functions II. Time tDomain Analysis III. Complex Frequency sDomain Analysis IV. Decomposition of Signals Into Elementary Signals V. Frequency fDomain Analysis Part I. Introduction: Systems and Signals Week 1 L1 : A Guided Tour of the land of EE 102 L2 : Signals: ContinuousTime and DiscreteTime; Systems with IPOPD: Linear (L), Nonlinear (NL), TimeInvariant (TI), TimeVarying (TV), Causal (C), and NonCausal (NC); Systems with Memory; ZeroMemory Systems; Two important signals: Unit Step Function U ( ) and Delta Function ( ) Part II. tDomain Analysis Week 2: IRF and BT L3 : Impulse Response Function (IRF); Unit Step Response (USR); IPOP Relation of L Systems; The EE 102 Big Theorem (BT) L4 : LTIC Systems and Convolution Integrals (ConvoInte); Cascading of LTIC systems Part III. sDomain Analysis: Laplace Transforms Week 3 L5 : Recap on tDomain Analysis; Problems Laplace Transforms and sDomain L6 : Laplace Transforms (continued): Properties Week 4: Inverse Laplace Transforms L7 : Inverse Laplace Transforms, PFE; Solving Differential Equations by Laplace Transforms L8 : Analysis of LTIC Systems by Laplace Transforms; System (or Transfer) Function; Cascading of LTIC systems 2 Estimated 4 Week 5: Connecting tDomain and sDomain L9 : Connecting tDomain and sDomain: IRF and System Function; Deriving DE from System Function; Response to e st ,t R ; Another Definition of System Function; ConvoInte and System Function; Prod uct of two transforms and ConvoInte L10 : FiveWeek Review; Problems; MT Prep Note: Saturday / Sunday Extra 5Week Review and MT Prep (TBA) Part IV. Decomposition of Signals Into Elementary Signals Week 6: MIDTERM and Decomposition of Signals  L11 : MT, MT, MT  L12 : Elementary Signals; Finite Energy Signals; Orthonormal Sig nals; Periodic Signals; Complex Exponentials; Fourier Series (FS): Or thonormal Decomposition of Periodic Signals; Fourier Coecients; Am plitude and Phase Spectra Week 7: Fourier Series Analysis L13 : Fourier Series (continued): Real Signals: SineCosine Series L14 : Orthogonal Principle; Mean Square Approximation and Error; Response of L, TI, Systems to Periodic Inputs Part V. fDomain Analysis: Fourier Transforms Week 8 L15 : Fourier Transforms (FT) and fDomain; FT and FS L16 : Properties of FT; Inverse Transforms...
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This note was uploaded on 10/15/2009 for the course EE 102 taught by Professor Levan during the Spring '08 term at UCLA.
 Spring '08
 Levan

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