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2_1_Part 11 Diode G-R current
Course: EE 2, Spring 2012School: UCLA
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EE113 Digital Signal ProcessingProf. Mihaela van der SchaarCourse informationWhen and where: Tuesdays and Thursdays 2:00 PM-3:50 PM MS 4000AInstructor: Prof. Mihaela van der Schaar, Office: Engineering IV, Rm. 58-109EEmail: ee113instructor@gmail.com
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EE113 Digital Signal ProcessingProf. Mihaela van der SchaarTentative schedule of classes and homeworkWeekTopic and associated chapters1 (April 3)MotivationIntroduction to Sequences(Some basic sequences, Periodicsequences)Chapters 1, 2 and 3Disc
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EE113: Digital Signal ProcessingSpring 2012Prof. Mihaela van der Schaar (Instructor)Homework #3Please kindly box your answers for the convenience of grading. Thanks!Solve the following problems from the electronic versions of the chapters of An Under
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EE103Spring2012ProfS.E.JacobsenEE103 Applied Numerical Computing, Spring 2012HW 1Due: 4/12/2012 (Beginning of Lecture)Your HW must contain your ID, Last Name, First Name, and the number of the DiscussionSection in which you are enrolled (by the way
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EE103 Discussion Spring12Introduction to MatlabTA: Ni-Chun Wangnichun@ee.ucla.eduCommand WindowWorkspaceYou dont need to declare the variables.All the variables being used can be found in the workspace.You can check the values of the variables in
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Example 5: root findingf ( x) 0xff ( x)e( x ) vf ( x ) e( x ) vmxin F ( x )def0 F '( x ) f ( x )UCLA SEAS EE103(SEJ) SLIDES 1CD1Taylors 0th Order Theorem (Mean Value Theorem)ff ( x) f ( x )xxf ( x) f ( x ) xf ( x) f ( x )(x x)xx x,x
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Introduction to Base 2 Arithmetic12 1101 2 100 (12) (.12)10 102101012 .625 1101 2 100 6 101 2 102 5 103 (12.625) 100 (.12625) 1021010EE103 SLIDES 2A(SEJ)1Base 212 1 2 3 1 2 2 0 21 0 2 0 (1 1 0 0 ) 2 2 0 ( . 1 1 0 0 ) 2 2 412.625 1 23 1 22 0
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Big O and Little oOften, we wish to compare a function, say z ( h ), with the behavior of another functionof h, say ( h ), whose behavior is better understood than that of z ( h ).Ex of functions of h :Forward Difference Approximation ( f ( x h ) f (
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Finding a Solution of a Nonlinear Equationf(x)=0xf(x)fe(x) = vf(x) = e(x) - vmxin F ( x )def0 F '( x ) f ( x )T h a t is ,fin dan xs o th a tf (x) 0EE103 (SEJ) SLIDES3A1Fixed Point Approach (Method of Successive Approximations):x g(x)f
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TheBasicIdeaofGaussEliminationorPivotingN , nxn , is nonsingular if1. N has an inverse, OR2. The rows of N are linearly independent , OR3. The columns of N are linearly independentAx b , xNAx Nb , xVlec4BC(SEJ)1ExampleofCompleteGaussElimination
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