Statistical Signal Processing

Statistical Signal Processing

@VTU COE

0.0
(0) 0 Students
Download Brochure

What you will learn

  • None

Many practical signals are random in nature or modelled as random processes. Statistical Signal Processing involves processing these signals and forms the backbone of modern communication and signal processing systems.This course will the three broad components of statistical signal processing: random signal modelling, estimation theory and detection theory.

play
Lec 4 : Random Processes
Preview 37:23
play
Lec 5 : Linear Shift Invariant Systems with Random Inputs
Preview 32:53
play
Lec 6 : White Noise and Spectral Factorization Theorem
Preview 33:27

play
Lec 7 : Linear Models of Random Signals
Preview 38:32
play
Lec 8 : Estimation Theory 1
Preview 32:49
play
Lec 9 : Estimation Theory 2: MVUE and Cramer Rao Lower Bound
Preview 38:26

play
Lec 10 : Cramer Rao Lower Bound 2
Preview 27:06
play
Lec 11 : MVUE through Sufficient Statistic
Preview 30:40
play
Lec 12 : MVUE through Sufficient Statistic 2
Preview 26:21

play
Lec 13 : Method of Moments and Maximum Likelihood Estimators
Preview 29:10
play
Lec 14 : Properties of Maximum Likelihood Estimator (MLE)
Preview 25:40
play
Lec 15 : Bayesian Estimators
Preview 31:28
play
Lec 16 : Bayesian Estimators 2
Preview 26:01

play
Lec 17 : Optimal linear filters: Wiener Filter
Preview 29:45
play
Lec 18 : FIR Wiener filter
Preview 23:03
play
Lec 19 : Non-Causual IIR Wiener Filter
Preview 31:21
play
Lec 20 : Causal IIR Wiener Filter
Preview 30:45

play
Lec 21: Linear Prediction of Signals 1
Preview 28:00
play
Lec 22 : Linear Prediction of Signals 2
Preview 30:15
play
Lec 23 : Linear Prediction of Signals 3
Preview 27:03
play
Lec 24: Review Assignment 1
Preview 43:38

play
Lec 25: Adaptive Filters 1
Preview 33:10
play
Lec 26: Adaptive Filters 2
Preview 26:11
play
Lec 27: Adaptive Filters 3
Preview 30:23
play
Lec 28: Review Assignment 2
Preview 45:56

play
Lec 29: Adaptive Filters 4
Preview 32:01
play
Lec 30: Adaptive Filters 4(cont.)
Preview 51:44
play
Lec 31: Review Assignment 3
Preview 39:40

play
Lec 32: Recursive Least Squares (RLS) Adaptive Filter
Preview 43:01
play
Lec 33: Recursive Least Squares (RLS) Adaptive Filter - 2
Preview 30:45
play
Lec 34: Review Assignment 4
Preview 47:32

play
Lec 35: Kalman Filter - 1
Preview 74:05
play
Lec 36: Vector Kalman Filter
Preview 49:58

play
Lec 37: Linear Models of Random Signals
Preview 38:18
play
Lec 38: Review - 1
Preview 68:35
play
Lec 39: Review - 2
Preview 39:05

play
Live Session 09-02-2021
Preview 21:00
play
Live Session 06-05-2020
Preview 65:42
img
No Discussion Found

0.0

0 Reviews

5
0
4
0
3
0
2
0
1
0
Meet Your Instructor
@VTU COE
img

Instructor
3.2 Rating
5446 Students
800 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

video

Free

  • Course Duration
    25 h 2 m 32 s
  • Course Level
    Intermediate
  • Student Enrolled
    0
  • Language
    English
This Course Includes
  • 25 h 2 m 32 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion