EE385/603 Random Signals and Noise Class Note Archives

Name: Dr. John L. Stensby

Email: Telephone: (256)-824-6258

Description: Probability, Statistics and Random Processes including Autocorrelation, Cross Correlations, Power Spectral Density, Response of Systems to Random Inputs, Narrow-Band Gaussian and Shot Noise, System Noise Figure Analysis, Sequences of Random Variables, Series Representation of Random Processes, Markov Process System Models and Much More!

Click on links below to download EE385/603 class notes.

Ch. 1 - 8 are EE385 class notes.

Readme First!

EE385 Class Handout

Chapter 1 - Introduction to Probability

Chapter 2 - Random Variables

Chapter 3 - Multiple Random Variables

Chapter 4 - Functions of Random Variables

Appendix 4A - Change of Variable in Double Integrals

Chapter 5 - Moments and Conditional Statistics

Chapter 6 - Random Processes

Chapter 7 - Correlation Functions

Chapter 8 - Power Density Spectrum

Ch. 9 - 14 Are EE603 class notes.

EE603 Class Handout

Chapter 9 - Commonly Used Models: Narrowband Gaussian Noise and Shot Noise

Appendix 9A - Hilbert Transform

Appendix 9B - Poisson Random Points

Appendix 9C - Low-pass Equivalent and Analytic Signal

Chapter 10 - Thermal Noise and System Noise Figure

Chapter 11 - Sequences of Random Variables

Appendix 11A - Limit Supremum, Limit Infimum and Limit of a Sequence of Real Numbers

Appendix 11B - Limit Supremum, Limit Infimum and Limit of a Sequence of Sets (Events)

Appendix 11C - Summary of Results for a Nested Increasing Sequence of Sets

Chapter 12 - Mean Square Calculus for Random Processes

Chapter 13 - Series Representation of Random Processes

Chapter 14 - Markov Process Dynamic System State Model


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