Overview
Syllabus
EE 306 - Signals and Systems II - Lecture 1 - Review of Probability Fundamentals.
EE 306 - Signals and Systems II - Lecture 2 - Conditional Probability, Bayes Rule and Independence.
EE 306 - Signals and Systems II - Lecture 3 - Review of Random Variables.
EE 306 - Signals and Systems II - Lecture 4 - Functions of Random Variables and Transform Methods.
EE 306 - Signals and Systems II - Lecture 5 - Probability Bounds and Recursion.
EE 306 - Signals and Systems II - Lecture 6 - Pairs of Random Variables.
EE 306 - Signals and Systems II - Lecture 7 - Covariance, Correlation Coefficent, Functions of Pairs.
EE 306 - Signals and Systems II - Lecture 8 - Vectors of Random Variables, Sum of Random Variables.
EE 306 - Signals and Systems II - Lecture 9 - Parameter Estimation, Linear MMSE Estimator.
EE306 - Signals and Systems II - Lect. 10 - Linear MMSE Estimator for Vectors, Generalized MMSE Est..
EE 306 - Signals and Systems II - Lecture 11 - Linear Programming and Duality in Optimization.
EE 306 - Signals and Systems II - Lecture 12 - Lagrange Dual Problem, Descent Methods.
EE 306 - Signals and Systems II - Lect. 13 - Discrete Stochastic Processes & Intro. to Markov Chains.
EE 306 - Signals and Systems II - Lecture 14 - n-step Transition Probabilities.
EE 306 - Signals and Systems II - Lecture 15 - 2 Umbrella Problem and Random Walk.
EE 306 - Signals and Systems II - Lecture 16 - Classification of States.
EE 306 - Signals and Systems II - Lecture 17 - Several Examples for Classification of States.
EE 306 - Signals and Systems II - Lecture 18 - Steady State Probabilities and Long Term Averages.
EE 306 - Signals and Systems II - Lec. 19-1 - Birth-Death Chains, Mean First Passage & Recurrence T..
EE 306 - Signals and Systems II - Lec. 19-2 - Example for Mean First Passage & Recurrence Times.
EE 306 - Signals and Systems II - Lecture 20 - Exponential Random Variable.
EE 306 - Signals and Systems II - Lecture 21 - Counting Processes.
EE306 - Signals and Systems II - Lec. 22 - Poisson Process, Properties & Moment Generating Functions.
EE 306 - Signals and Systems II - Lecture 23 - Poisson Processes Continued.
EE 306 - Signals and Systems II - Lecture 24 - Splitting and Merging Poisson Processes.
EE306 - Signals and Systems II - Lec. 25 - A Long Ex. Related to Poisson Process - Bus Departure Ex..
EE 306 - Signals and Systems II - Lecture 26 - Random Telegraph Signal and Shot Noise.
EE 306 - Signals and Systems II - Lecture 27 - Deterministic and Stochastic Modelling.
EE 306 - Signals and Systems II - Lecture 28 - Stochastic Modelling Continued.
EE 306 - Signals and Systems II - Lecture 29 - p.d.f Description of Random Phase Cosine Signal.
EE 306 - Signals and Systems II - Lecture 30 - Stationarity.
EE 306 - Signals and Systems II - Lecture 31 - Stationarity.
EE 306 - Signals and Systems II - Lecture 32 - Gaussian Processes.
EE 306 - Signals and Systems II - Lecture 33 - A Gaussian Processes Example & LTI Processing of WSS.
EE 306 - Signals and Systems II - Lecture 34 - Moment Char. of a Process for WSS Input & White Noise.
EE 306 - Signals and Systems II - Lec. 35 - Properties of Autocorrelation Function of WSS Processes.
EE 306 - Signals and Systems II - Lecture 36 - Power Spectral Density.
EE 306 - Signals and Systems II - Lecture 37 - Power Spectral Density Continued & Hilbert Transform.
EE 306 - Signals and Systems II - Lecture 38 - Bandpass Signal Representation.
EE 306 - Signals and Systems II - Lecture 39 - Representation of Bandpass Processes.
EE 306 - Signals and Systems II - Lecture 40 - In-phase & Quadrature (I/Q) Comp. of a Bandpass Proc..
EE 306 - Signals and Systems II - Lecture 41 - Spectral Density of I/Q Comp. of a Bandpass Process.
Taught by
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