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MIT | EECS 6.02
Intro To EECS II
Professors
  • Terman
 
 
 

50 sample documents related to EECS 6.02

  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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?
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    Registers Pipelining, Slide 1 Our last component: the D register The edge-triggere
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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,
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    Reliable Transport Stateless\" routers Topological addressing Reliable Data Transport Story Thus Far Basic mechanism Sender uses sequence numbers Receivers send ACKs
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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
     
  • MIT EECS 6.02
    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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