TAILIEUCHUNG - Communications Theory and Systems

This is an undergraduate course in digital communications, which is designed to prepare students for engineering work in high-tech industries and for graduate work in communications, signal processing, and computer systems. The course covers basic concepts and useful tools for design and performance analysis of transmitters and receivers in the physical layer of a communication system. Prerequisite: An introductory course in probability. A course in signals and systems. Texts: . Proakis, M. Salehi, Communication Systems Engineering M. P. Fitz, A Course in Communication Theory Graders:. | Communications Theory and Systems Prof. Ashu Sabharwal Department of Electrical and Computer Engineering Office 2018 Duncan Hall Office Hours Tuesday Thursday 11 00-11 45am Monday Wednesday 1 00-2 00pm Class Hours Tuesday Thursday 9 25-10 40am Room dH 1042 Spring Semester 2009 This is an undergraduate course in digital communications which is designed to prepare students for engineering work in high-tech industries and for graduate work in communications signal processing and computer systems. The course covers basic concepts and useful tools for design and performance analysis of transmitters and receivers in the physical layer of a communication system. Prerequisite An introductory course in probability. A course in signals and systems. Texts . Proakis M. Salehi Communication Systems Engineering M. P. Fitz A Course in Communication Theory Graders ELEC 430 Schedule Approximate and subject to change based on the pace of the class Homework Due Date HWs 1-3 Exam 1 take home February 5-10 HWs 4-6 Projects are announced March 10 Exam 2 take home March 12-17 Projects are decided March 17 HW 7 March 24 Time for Project no HW March 29 Spring Recess April 2-3 HW 8 April 9 Project presentation April 17 Exam 3 take home April 22-29 HW s 25 1st exam 20 2nd exam 20 3rd exam 20 attendance 5 project 10 100 Homework assignments are due by 5 00pm on their due dates. You can be one day 24 hours late on two HW sets without any penalties. Otherwise there is a 50 penalty on late HW assignments. Course Project is sponsored by ViaSat. There will be a cash prize for top three projects Joint projects with ELEC 433 are possible and encouraged . Honor code You are encouraged to work with other students in Elec 430 on homework problems. You should not look at completed work of other students old homework solutions and old exams and their solutions. Course Outline 1. Overview 1 Lect. 2. Review of Probability Theory 1 Lect. . Random variables . Distributions . Moments 3. .

• Tiếng Anh thương mại
• Probability Theory
• Stochastic Processes
• Data Transmission
• Digital Transmission
• Passband Channels
• modulation
• Lecture Probability Theory
• Lý thuyết xác suất
• Extinction Probability for Queues
• Extinction Probability for Martingales
• Axioms of Probability
• Conditional probability
• Properties of conditional probability
• Binomial Random Variable Applications
• Conditional Probability Density Function
• Stirling’s Formula
• Two Random Variables
• Joint probability density function
• Multiple Random Variables
• Hai biến ngẫu nhiên
• Bernoulli Trials
• Bernoulli Numbers
• Day trading strategy
• Random Variables
• Distribution Function
• Continuous type random variables
• Discrete type random variables
• Function of a Random Variable
• Functions of a discrete type r v
• Expected Value
• Characteristic Function
• One Function of Two Random Variables
• Poisson random
• Two Functions of Two Random Variables
• Joint Moments
• Joint Characteristic Functions
• Conditional Density Functions
• Conditional Expected Values
• Principles of Parameter Estimation
• Parameter Estimation
• Maximum Likelihood
• The Weak Law of Large numbers
• The Strong Law of Large numbers
• Stationary Stochastic Processes
• Systems with Stochastic Inputs
• Poisson Processes
• Distribution of number of arrivals
• Distribution of interarrival times
• Mean square Estimation
• Random variable
• Minimization of the Mean Square Error
• Long Term Trends
• Hurst Phenomena
• Power Spectrum
• Power Spectra
• Linear Systems
• Series Representation of Stochastic processes
• Discrete mathematics
• Modeling computation
• Number theory
• Advanced counting techniques
• Discrete probability
• Bayes’ theorem
• probability
• theory
• measure
• lectures
• Fundamental
• Event algebra
• Statistics biologists
• Independent events
• Frequently applied probability distributions
• Networking theory
• Queueing Theory
• Lecture Networking theory
• Packet networks
• The poisson process
• Little’s Theorem
• Probability models
• Definitions of probability
• Axiom systems
• Elements of asymptotic theory
• Criteria for point estimation