0
(
ratings
)
students
Created by:
![Profile Photo](https://opencoursa.com/wp-content/uploads/avatars/809/62de1041c5027-bpfull.jpg)
Last updated:
November 30, 2022
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
This course covers signals, systems and inference in communication, control and signal processing.
Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; and group delay. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization. Least-mean square error estimation; Wiener filtering. Hypothesis testing; detection; matched filters.
Course Curriculum
- Introduction Unlimited
- Transforms Unlimited
- Energy Spectral Density Unlimited
- State-Space Models Unlimited
- State-Space Models Unlimited
- Modal Solution of Undriven CT Unlimited
- Full Modal Solution Unlimited
- Matrix Exponential Unlimited
- Observers for State Estimation Unlimited
- Observers Unlimited
- State Feedback Unlimited
- Probabilistic Models Unlimited
- Vector Picture for First- and Second-Order Statistics Unlimited
- LMMSE Estimation Unlimited
- Normal Equations Unlimited
- Wide-Sense Stationary Processes Unlimited
- LTI Filtering of WSS Processes Unlimited
- Power Spectral Density (PSD) Unlimited
- Einstein-Wiener-Khinchin Theorem Unlimited
- Wiener Filtering Unlimited
- Wiener Filtering Illustrations Unlimited
- Hypothesis Testing Unlimited
- Neyman-Pearson Testing Unlimited
- Signal Detection Unlimited
- Matched Filtering Unlimited
About the instructor
5
5
Instructor Rating
1
Reviews
1520
Courses
1916
Students
![Profile Photo](https://opencoursa.com/wp-content/uploads/avatars/809/62de1041c5027-bpfull.jpg)
Massachusetts Institute of Technology