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MIT | EECS 6.02
Intro To EECS II
50 sample documents related to EECS 6.02
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6.02 Intro to EECS II Spring 2008 12 units (2-3-7) Prereqs: Intro to EECS I (6.01), Physics II (8.02), Differential Equations (18.03) or Linear Algebra (18.06) Course mechanics Overview of 6.02 6.02 Spring 2008 Intro to EECS II, Slide 1 Who\'s who Instru
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Intro to Fourier Series Function decomposition Even and Odd functions Fourier Series definition and examples Copyright 2007 by M.H. Perrott & C. G. Sodini All rights reserved. 6.02 Spring 2008 Intro to Fourier Series, Slide 1 Can We Decompose Functions?
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Fourier Series and Fourier Transform 6.02 Spring 2008 Complex exponentials Complex version of Fourier Series Time Shifting, Magnitude, Phase Fourier Transform Fourier Series and Fourier Transform, Slide 1 Copyright 2007 by M.H. Perrott & C. G. Sodini Al
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Modulation Wireless communication application Impulse function definition and properties Fourier Transform of Impulse, Sine, Cosine Picture analysis using Fourier Transforms Copyright 2007 by M.H. Perrott & C. G. Sodini All rights reserved. 6.02 Spring 2
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Filtering in Continuous and Discrete Time Lowpass, highpass, bandpass filtering Filter response to cosine wave inputs \"Real World\" signals <-> MATLAB sequences Filtering based on difference equations Copyright 2007 by M.H. Perrott & C. G. Sodini All righ
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I/Q Modulation Issues with coherent modulation Analog I/Q modulation principles 6.02 Spring 2008 Lecture 6 Copyright 2007 by M.H. Perrott & C. G. Sodini All rights reserved. I/Q Modulation, Slide 1 AM Modulation and Demodulation Multiplication (i.e., mi
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Analog Radio Early Beginnings and Historical Developments Basic principles (Impulse radio, AM/FM) 6.02 Spring 2008 Lecture 7 Analog Radio, Slide 1 Wireless pre-history Key discoveries Electromagnetic Induction and Electromagnetic Wave propagation Many
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The Digital Abstraction ! Analog Signaling & Noise ! Digital Signaling, Noise Margins ! Sampling Theorem ! Quantization Noise 6.02 Spring 2008 The Digital Abstraction, Slide 1 Representing information with voltage Representation of each point (x, y) on a
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Digital Modulation (Part I) Communication using symbols and bits Constellation diagrams and decision boundaries Transmit bandwidth vs.intersymbol interference Eye Diagrams and sample time sensitivity Copyright 2007 by M.H. Perrott & C. G. Sodini All righ
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Digital Modulation (Part II) Receiver noise vs. intersymbol interference (ISI) Raised Cosine Filter Complex mixing for frequency offset removal Copyright 2007 by M.H. Perrott & C. G. Sodini All rights reserved. 6.02 Spring 2008 Lecture 10 Digital Modulat
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Energy and Noise Signal-to Noise Ratio (SNR) Constellation diagrams and SNR Bit error rate versus SNR 6.02 Spring 2008 Lecture 11 Copyright 2007 by M.H. Perrott & C. G. Sodini All rights reserved. Energy and Noise Slide 1 Review of Digital Modulation Tr
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Advanced Digital Communications Wireless Channel - Multipath Multitone systems Timing/Synchronization 6.02 Spring 2008 Lecture 12 Advanced Digital Communications 1 Simplified view of wireless channel - multipath reflection ( A1 , T1 ,1 ) direct path ( A0
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Detecting and Correcting Errors ! Codewords and Hamming Distance ! Error Detection: parity ! Single-bit Error Correction ! Burst Error Correction ! Framing 6.02 Spring 2008 Detecting and Correcting Errors, Slide 1 There\'s good news and bad news. The good
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Detecting and Correcting Errors (Part II) 6.02 Spring 2008 Detecting and Correcting Errors (Part 2), Slide 1 From the Homework. ! Problem 4. Ben Bitdiddle woke up in the middle of the night with the following great idea: in order to implement double-bit e
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Digital Logic ! Combinational circuits ! Digital Signaling ! Truth tables, sum of products ! INV-AND-OR circuits ! NAND/NOR circuits ! MUXes ! Propagation delay 6.02 Spring 2008 Digital Logic, Slide 1 A Digital Processing Element ! A combinational device
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Arithmetic Circuits ! Numbers as bits: two\'s complement ! Addition: ripple-carry adders ! Multiplication: unsigned and signed ! Intro to registers 6.02 Spring 2008 Arithmetic Circuits, Slide 1 Encoding numbers It is straightforward to encode positive inte
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Registers Pipelining, Slide 1 Our last component: the D register The edge-triggere
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Source Coding ! Information & Entropy ! Variable-length codes: Huffman\'s algorithm ! Adaptive variable-length codes: LZW 6.02 Spring 2008 Source Coding, Slide 1 Where we\'ve gotten to. With channel coding (along with block numbers and CRC), we have a way t
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Perceptual Coding ! Lossless vs. lossy compression ! Perceptual models ! Selecting info to eliminate ! Quantization and entropy encoding ! Part II wrap up 6.02 Spring 2008 Perceptual Coding, Slide 1 Lossless vs. Lossy Compression bitsIN Source Encoding St
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Networks Hari Balakrishnan (hari@mit.edu) 6.02 Spring 2008 Lecture #20 April 23, 2008 Sharing, a fundamental problem Switches; circuit and packet switching Queues to mitigate traffic bursts From Links to Networks So far, we\'ve learned about tools to help
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Channel Access Protocols Lecture 21 6.02 Fall 2008 April 25, 2008 How to share a radio channel Time-Division Multiple Access Contention protocols (Aloha, CSMA) Analysis of utilization (throughput) Channel Access Broadcast networks: assume everyone can h
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Best-Effort Networks and Layering Lecture 22 April 28, 2008 6.02 Spring 2008 Understanding network delays Little\'s law Best-effort network: losses, corruption, reordering Coping using layered protocols Queues in Packet-Switched Networks Queues absorb bur
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The Network Layer Forwarding, Routing, and Addressing (Part I) Lecture 23 6.02 Spring 2008 May 2, 2008 Network layer functions Difference between forwarding and routing Link-state routing with Dijkstra\'s shortest-paths alg. Layering in the Internet HTTP,
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The Network Layer (Part II): Routing Protocols Lecture 24 6.02 Spring 2008 May 5, 2008 Link-state routing protocol Vector routing (esp. distance vector) protocols Layering in the Internet HTTP, FTP, SMTP, . Application TCP, UDP Transport Network Data Link
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The Transport Layer: End-to-end Functions Lecture 25 6.02 Spring 2008 May 9, 2008 Reliable delivery using timeout + retransmission Stop-and-wait protocol Sliding window protocols Layering in the Internet HTTP, FTP, SMTP, . Application Today TCP, UDP IP Tr
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Reliable Transport Stateless\" routers Topological addressing Reliable Data Transport Story Thus Far Basic mechanism Sender uses sequence numbers Receivers send ACKs
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Intro to EECS II Spring 2008 Homework #1: Complex numbers, Fourier Series, Fourier Transform Issued: February 8, 2008 Due: February 15, 2008 Copyright 200
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Intro to EECS II Spring 2008 Homework #2: Modulation and Filtering Distributed: February 15, 2008 Due: February 22, 2008 1. Given the system and signals s
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Intro to EECS II Spring 2008 Homework #3: Filtering and I/Q modulation Distributed: February 22, 2008 Due: February 29, 2008 1. In this problem, we will e
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Intro to EECS II Spring 2008 Homework #4: Digital modulation and sampling Distributed: February 28, 2008 Due: March 7, 2008 1. 1. You are given a constell
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Intro to EECS II Spring 2008 Homework #5: Energy and Noise Issued: March 7, 2008 Due: March 14, 2008 1. Consider the probability density function fX(x) of
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02 Introduction to EECS II Spring 2008 Homework #6: Channel Coding Issued: March 14, 2008 Due: March 21, 2008 Problem 1. For each of the following codes indi
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02 Introduction to EECS II Spring 2008 Homework #7: Digital Logic Issued: March 31, 2008 Due: April 4, 2008 Problem 1. In this problem we\'re asking you to im
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02 Introduction to EECS II Spring 2008 Homework #8: Arithmetic Circuits & Registers Issued: April 4, 2008 Due: April 11, 2008 Problem 1. Calculate the follow
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02 Introduction to EECS II Spring 2008 Homework #9: Source Coding Issued: April 11, 2008 Due: April 18, 2008 Problem 1. Huffman and other coding schemes tend
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Spring 2008 Homework #10 April 25, 2008 This problem set has six questions, some with multiple parts. Answer them as clearly and concisely as possible. Tu
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Spring 2008 Homework #11 May 2, 2008 This problem set has four questions, some with multiple parts. Answer them as clearly and concisely as possible. Turn
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Spring 2008 Homework #12 May 9, 2008 This problem set has five questions. They will not be graded, so don\'t turn them in. We strongly encourage to solve t
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Spring 2008 Lab 9: Channel Access Protocols April 2830, 2008 Goal: Using WSim, a simulator for a simple broadcast network written in Python, develop and e
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Spring 2008 Lab 10: Network Routing with a Link-State Protocol May 57, 2008 1 Introduction Goal: Using NetSim, a network simulator written in Python, deve
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.02 Spring 2008 Lab 11: Reliable Data Transport May 1214, 2008 Goal: Using NetSim, implement reliable packet transport for a best-effort network that drops pa
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Massachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Spring Semester, 2008 6.02 Introduction to EECS 2 Lab #1: Time-Frequency Analysis Goal:. 2 Instructions:. 2 Prelab: . 3 Understanding Sample Period, Exponential Dam
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Massachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Spring Semester, 2008 6.02 Introduction to EECS 2 Lab #2: Modulation and Filtering Goal:. 2 Instructions:. 2 Prelab: . 3 A. Understanding Modulation . 3 B. Understa
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Massachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Spring Semester, 2008 6.02 Introduction to EECS 2 Lab #3: Digital Modulation Goal:.2 Instructions:.2 PreLab:.3 A. Sigma-Delta Encoding .4 B. Upsampling and Interpol
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Massachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Spring Semester, 2008 6.02 Introduction to EECS 2 Lab #4: SNR and Bit Error Rate Goal:. 2 Instructions:. 2 Pre-Lab Exercises: . 3 A. Background . 3 B. Pre-lab Calcu
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02: Introduction to EECS II Spring 2008 Lab #5: Error Detection and Correction Goal: Using Python, decode a sample bit stream as it might have come from a di
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02: Introduction to EECS II Spring 2008 Lab #6 Addendum: How to test your modules The lab write up encourages you to use modular approach to designing the de
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02: Introduction to EECS II Spring 2008 Lab #6: Digital Logic Goal: Design a combinational logic circuit that implements a decoder for the (15,8,4) error cor
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02: Introduction to EECS II Spring 2008 Lab #7: Digital Signal Processing Goal: Design a digital circuit that implements a low-pass filter with a cut-off fre
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MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 6.02: Introduction to EECS II Spring 2008 Lab #8: Source Coding Goal: Using MATLAB, develop and evaluate a method for compactly encoding images of scanned text
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