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Washington University in St. Louis - ENGINEERIN - 221
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Washington University in St. Louis - ENGINEERIN - 221
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Washington University in St. Louis - ENGINEERIN - 221
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Washington University in St. Louis - ENGINEERIN - 221
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Washington University in St. Louis - ENGINEERIN - 221
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Washington University in St. Louis - ENGINEERIN - 221
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MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 136.003: Signals and SystemsMarch 18, 2010Feedback and ControlFeedback: simple, elegant, and robust framework for control.CT Feedback and ControlX+ECcontrollerYplantSsensorWe started with rob otic driving
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 1February 2, 20106.003: Signals and Systems6.003: Signals and SystemsSignals and SystemsTo days handouts: Single package containing Slides for Lecture 1 Subject Information & CalendarLecturer: Denny FreemanInst
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 26.003: Signals and SystemsFebruary 4, 2010Discrete-Time SystemsWe start with discrete-time (DT) systems b ecause theyDiscrete-Time Systemsare conceptually simpler than continuous-time systemsillustrate same imp o
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 36.003: Signals and SystemsFebruary 9, 2010Last Time: Multiple Representations of DT SystemsVerbal descriptions: preserve the rationale.Feedback, Poles, and Fundamental ModesTo reduce the number of bits needed to s
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 46.003: Signals and SystemsFebruary 11, 2010Previously: DT SystemsVerbal descriptions: preserve the rationale.Continuous-Time SystemsNext year, your account will contain p times your balancefrom this year plus the
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 56.003: Signals and SystemsFebruary 18, 2010Concept Map: Continuous-Time SystemsRelations among representations.Laplace TransformXAXBlock Diagram+X+Y2A 2=X2 + 3A + A2121x(t)System FunctionalYImpul
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 66.003: Signals and SystemsFebruary 23, 2010Mid-term Examination #1Wednesday, March 3, 7:30-9:30pm.Z TransformNo recitations on the day of the exam.Coverage:Representations of CT and DT SystemsLectures 17Recita
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 76.003: Signals and SystemsFebruary 25, 2010Mid-term Examination #1Wednesday, March 3, 7:30-9:30pm.Relations b etween CT and DT:No recitations on the day of the exam.Insights from Op erators and TransformsCoverag
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 86.003: Signals and SystemsMarch 2, 2010Mid-term Examination #1Tomorrow, Wednesday, March 3, 7:30-9:30pm.ConvolutionNo recitations tomorrow.Coverage:Representations of CT and DT SystemsLectures 17Recitations 18
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 9March 4, 20106.003: Signals and SystemsReviewFrequency ResponseLast time, we saw how a linear, time-invariant (LTI) system can b echaracterized by its unit-sample/impulse response.DT: y [n] = (x h)[n] =x[k ]h[n
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 106.003: Signals and SystemsMarch 9, 2010Last TimeComplex exp onentials are eigenfunctions of LTI systems.CT Frequency Response and Bode Plotses0 tH (s0 ) es0 tH (s)H (s0 ) can b e determined graphically using v
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 116.003: Signals and SystemsMarch 11, 2010Feedback and ControlFeedback is p ervasive in natural and articial systems.Feedback and ControlVpTurn steering wheel to stay centered in the lane.desiredp ositionactua
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 126.003: Signals and SystemsMarch 16, 2010Feedback and ControlFeedback: simple, elegant, and robust framework for control.CT Feedback and Control+XECYcontrollerplantSsensorLast time: rob otic driving.di
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 146.003: Signals and SystemsMarch 30, 2010Mid-term Examination #2Wednesday, April 7, 7:30-9:30pm.Fourier RepresentationsNo recitations on the day of the exam.Coverage:Lectures 115Recitations 115Homeworks 18Hom
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 156.003: Signals and SystemsApril 1, 2010Mid-term Examination #2Wednesday, April 7, 7:30-9:30pmFourier Series.No recitations on the day of the exam.Coverage:Lectures 115Recitations 115Homeworks 18Homework 8 w
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 166.003: Signals and SystemsApril 6, 2010Mid-term Examination #2Tomorrow, April 7, 7:30-9:30pm.Fourier TransformNo recitations tomorrow.Coverage:Lectures 115Recitations 115Homeworks 18Homework 8 will not colle
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 176.003: Signals and SystemsApril 8, 2010CT Fourier TransformRepresenting signals by their frequency content.X (j )=x(t)ejt dt(analysis equation)CT Fourier Transform1x(t)=X (j )ejt d2 April 8, 2010(synthesi
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 186.003: Signals and SystemsApril 13, 2010Signals and/or SystemsTwo p ersp ectives:Discrete-Time Frequency Representations feedback and control (fo cus on systems)X+controllerYplantsensor Is the system stabl
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 196.003: Signals and SystemsApril 15, 2010Mid-term Examination #3Wednesday, April 28, 7:30-9:30pm.DT Fourier RepresentationsNo recitations on the day of the exam.Coverage:Lectures 120Recitations 120Homeworks 11
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 206.003: Signals and SystemsApril 22, 2010Mid-term Examination #3Wednesday, April 28, 7:30-9:30pm.Relations among Fourier RepresentationsNo recitations on the day of the exam.Coverage:Lectures 120Recitations 120
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 216.003: Signals and SystemsApril 27, 2010Mid-term Examination #3Tomorrow: Wednesday, April 28, 7:30-9:30pm.SamplingNo recitations tomorrow.Coverage:Lectures 120Recitations 120Homeworks 111Homework 11 will not
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 22April 29, 20106.003: Signals and SystemsWhat to do with a billion transistorsSampling and QuantizationGene Frantz, Texas InstrumentsSeminar, to day, 4pmWe are getting closer to a time when we will b e able to co
MIT - ELECTRICA - 6.003
6.003: Signals and SystemsLecture 24May 6, 20106.003: Signals and SystemsCourse VI Underground GuideModulationPlease give us and future students feedback on 6.003 by participatingin the Course VI Underground Guide Survey:https:/sixweb.mit.edu/stud
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Concrete encoding of informationThe Digital AbstractionTo this point weve dis
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.CMOS TechnologyCombinational Device Wish List1. Qualitative MOSFET model2. C
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Synthesis of Combinational LogicFunctional SpecicationsAThere are many ways
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Sequential Logic:6.004: Progress so faradding a little statePHYSICS: Continu
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.(Synchronous)Finite State MachinesOur New MachineGreat - Theory!Finally!So
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.The Importance of being DiscreteSynchronization, Metastabilityand Arbitration
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.PipeliningForget circuits lets solve a Real Problemwhat Seymour Cray taught t
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Binary MultiplicationCost/Performance Tradeos:a case studyaxEASY PROBLEM:
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Designing an Instruction Setmoveaddaddmoverotate.Nerd Chef at work.Lets
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Machine Language, Assemblers,and CompilersOPCODELong, long, time ago, I can
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Programmabilityfrom silicon to bits6.004 Roadmap01101001101110010010001110
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Stacks and ProceduresLets see, before going toclass,. Id better look overmy
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Building the BetaCPU Design TradeosMaximum Performance: measured by thenumbe
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.What we want in a memoryThe Memory HierarchyPCADDRINSTDOUTMADDRADDRMDAT
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Cache IssuesWhy the book? Lecturenotes are faster!Basic Cache AlgorithmCPU
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Lessons from HistoryVirtual MemoryYou heard me right, kid.TERABYTES of main
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Review: Virtual MemoryVirtual MachinesVACPUVirtualMemoryMMUPARAMPhysic
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Why an OS?Devices & InterruptsWhat weve got:Loop:LD(R3,0,R0)ADDC(R3,4,R3)
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Computer System TechnologiesInterconnect & CommunicationWhats the most import
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Interprocess CommunicationProcesses, Synchronization, & DeadlockClassic Examp
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.CPU PerformancePipelining the BetaWeve got a working Beta can we make it fast
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Pipeline IssuesThis pipeline stu makesmy head hurt!Recalling Data HazardsMa
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.The Home StretchParallel ProcessingTODAY 5/7: Lab 8 (LAST!) dueFriday 5/8 se
MIT - COMPUTER S - 6.004
MIT OpenCourseWarehttp:/ocw.mit.edu6.004 Computation StructuresSpring 2009For information about citing these materials or our Terms of Use, visit: http:/ocw.mit.edu/terms.Youve mastered a lotComputer Architecture:Exciting Times Ahead!The best way
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 26.01: Introduction to EECS ISeptember 15, 2009OutlineInheritance, Functional Programming, RecursionInheritanceProcedures as rst-class objectsRecursionDictionaries and ArraysRead, if you havent already,
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 2February 10, 20096.01: Introduction to EECS IAbstraction and Mo dularitySignals and SystemsLast week, we focused on programming, where abstraction and mo dularity are key to the design and analysis of complex syste
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 4September 29, 20096.01: Introduction to EECS IFeedback and ControlFeedback and ControlFeedback is pervasive in natural and articial systems.VpTurn steering wheel to stay centered in the lane.desiredpositionWee
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 5October 6, 20096.01: Introduction to EECS ISignals and SystemsDesigning Control SystemsWe have develop ed multiple representations of systems, each withparticular strengths.Dierence equations are mathematically co
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 6October 15, 20096.01: Introduction to EECS IThe Circuit AbstractionCircuitsCircuits represent systems as connections of component through which currents (through variables) ow and across which voltages (across var
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 7October 20, 20096.01: Introduction to EECS IOp-AmpsOp-AmpsAn operational amplier (op-amp) is an electronic component thatis easily congured to perform a variety of useful functions.We will discuss models of op-amp
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 8October 27, 20096.01: Introduction to EECS IAnalyzing Simple CircuitsSolving CircuitsSimple circuits (of the type that we have b een building in lab) canusually b e analyzed byCircuit Abstractionsrecognizing
MIT - COMPUTER - 6.01
6.01: Introduction to EECS 1Week 96.01: Introduction to EECS INovember 3, 2009How can we look aheadwhen we dont know where we are?Discrete ProbabilityWeek 9Uncertainty in results of actionsUncertainty in results of sensing:What do we know wh