HKN ECE 313 EXAM 2 REVIEW SESSION Corey
- Slides: 25
HKN ECE 313 EXAM 2 REVIEW SESSION Corey Snyder Ahnaf Masroor Kanad Sarkar
EXAM 2 TOPICS • Continuous-type Random Variables (mean and variance of CRVs) • Uniform Distribution • Exponential Distribution • Poisson Process • Linear Scaling of PDFs • Gaussian Distribution • ML Parameter Estimation for Continuous Random Variables • Functions of a random variable • Failure Rate Functions • Binary Hypothesis Testing • Joint CDFs, PMFs, and PDFs • Independence of Random Variables • Distributions of sums of random variables*
CONTINUOUS-TYPE RANDOM VARIABLES •
UNIFORM DISTRIBUTION •
EXPONENTIAL DISTRIBUTION •
POISSON PROCESS •
LINEAR SCALING OF PDFS •
GAUSSIAN DISTRIBUTION •
ML PARAMETER ESTIMATION •
FUNCTIONS OF RANDOM VARIABLES •
GE NE RA TING A R V WITH A SPECIFIED DIS TR IB UTIO N •
FAILURE RATE FUNCTIONS •
BINARY HYPOTHESIS TESTING •
JOINT CDF, PMF, AND PDF CONTINUOUS RANDOM VARIABLES DISCRETE RANDOM VARIABLES • •
INDEPENDENCE OF JOINT DISTRIBUTIONS •
DI STRIBUTION OF SU MS O F RANDOM VAR IABLES •
WHAT IS CONVOLUTION? • A beautiful, extraordinary linear operator that describes natural phenomena in a fundamental and concise manner.
WHAT IS CONVOLUTION? •
FA 15 PROBLEM 2 •
FA 14 PROBLEM 3
FA 15 PROBLEM 4 •
SU 16 PROBLEM 3 •
SP 15 PROBLEM 4
FA 15 PROBLEM 3 •
FA 12 PROBLEM 6
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