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Unformatted text preview: 3 Course Overview Random Vectors Bayes’ Rule Joint cdf, pdf Correlation Min MSE Linear Estimate Square Functions of RVs Jacobian Expectation z-transform Moment Generating Function Laplace Transform Caushy-schwartz Inequality Markov Inequality Chebyshev Inequality Chernoff Bound Law of large numbers Central Limit Theoren Sample Mean Sample Variance Chi-square random variable Student-t Confidence Interval Random Variable Moments cdf, pdf (pmf) Coefficient of Variation Discrete-time Markov Process Cont-time Markov Process Birth-death Process M/M/c M/M/c/c Random Experiment Sample Space Event Distributions Binomial Geometric Uniform Exponential Poisson m-erlang/Gamma Hyper-exponential Gaussian Random Process Poisson Uniform Phase Sinusoid Random Telegraph Wiener Amplitude Modulation White Gaussian Autocorrela- tion Stationary random process Wide-sense Stationary Linear Time-invariant System Ergodic Process Power Spectral Density...
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This note was uploaded on 11/23/2010 for the course EE EE528 taught by Professor Majungsoo during the Spring '10 term at Korea Advanced Institute of Science and Technology.
- Spring '10
- Electrical Engineering