CSE - Adaptive Signal Processing

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Electronics & Communication

Adaptive Signal Processing

Adaptive Signal Processing

01 Introduction to Adaptive

02 Introduction to Stochastic Processes

03 Stochastic Processes

04 Correlation Structure

05 FIR Wiener Filter (Real)

06 Steepest Descent Technique

07 LMS Algorithm

08 Convergence Analysis

09 Convergence Analysis (Mean Square)

10 Convergence Analysis (Mean Square)

11 Misadjustment and Excess MSE

12 Misadjustment and Excess MSE

13 Sign LMS Algorithm

14 Block LMS Algorithm

15 Fast Implementation of Block LMS Algorithm

16 Fast Implementation of Block LMS Algorithm

17 Vector Space Treatment to Random Variables

18 Vector Space Treatment to Random Variables

19 Orthogonalization and Orthogonal Projection

20 Orthogonal Decomposition of Signal Subspaces

21 Introduction to Linear Prediction

22 Lattice Filter

23 Lattice Recursions

24 Lattice as Optimal Filter

25 Linear Prediction and Autoregressive Modeling

26 Gradient Adaptive Lattice

27 Gradient Adaptive Lattice

28 Introduction to Recursive Least Squares

29 RLS Approach to Adaptive Filters

30 RLS Adaptive Lattice

31 RLS Lattice Recursions

32 RLS Lattice Recursions

33 RLS Lattice Algorithm

34 RLS Using QR Decomposition

35 Givens Rotation

36 Givens Rotation and QR Decomposition

37 Systolic Implementation

38 Systolic Implementation

39 Singular Value Decomposition

40 Singular Value Decomposition

41 Singular Value Decomposition

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