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