This is a full animation course for GSM from Motorola with good animation, nice photos and sound.

you can download this CD from the following link

**CLICK HERE**

**Archive Password: www.bandwidther.com**

Note: you will need Virtual CD to run it

This is a full animation course for GSM from Motorola with good animation, nice photos and sound.

you can download this CD from the following link

Note: you will need Virtual CD to run it

Video Lectures Series on Adaptive Signal Processing by Prof.M.Chakraborty, Department of E and ECE, IIT Kharagpur.

Lecture - 1 Introduction to Adaptive Filters.

Lecture - 2 Introduction to Stochastic Processes.

Lecture - 3 Stochastic Processes.

Lecture - 4 Correlation Structure.

Lecture - 5 FIR Wiener Filter (Real).

Lecture - 6 Steepest Descent Technique.

Lecture - 7 LMS Algorithm

**Please feel free to leave a comment if there is a dead link or a problem with the links.**
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Lecture - 1 Introduction to Adaptive Filters.

Lecture - 2 Introduction to Stochastic Processes.

Lecture - 3 Stochastic Processes.

Lecture - 4 Correlation Structure.

Lecture - 5 FIR Wiener Filter (Real).

Lecture - 6 Steepest Descent Technique.

Lecture - 7 LMS Algorithm

Lecture - 8 Convergence Analysis

Lecture - 9 Convergence Analysis (Mean Square) (P1)

Lecture - 10 Convergence Analysis (Mean Square) (P2)

Lecture - 11 Misadjustment and Excess MSE (P1)

Lecture - 12 Misadjustment and Excess MSE (P2)

Lecture - 13 Sign LMS Algorithm

Lecture - 14 Block LMS Algorithm

Lecture - 15 Fast Implementation of Block LMS Algorithm (P1)

Lecture - 16 Fast Implementation of Block LMS Algorithm (P2)

Lecture - 17 Vector Space Treatment to Random Variables (P1)

Lecture - 18 Vector Space Treatment to Random Variables (P2)

Lecture - 19 Orthogonalization and Orthogonal Projection

Lecture - 20 Orthogonal Decomposition of Signal Subspaces

Lecture - 21 Introduction to Linear Prediction

Lecture - 22 Lattice Filter

Lecture - 23 Lattice Recursions

Lecture - 24 Lattice as Optimal Filter

Lecture - 25 Linear Prediction and Autoregressive Modeling

Lecture - 26 Gradient Adaptive Lattice

Lecture - 27 Gradient Adaptive Lattice Contd.

Lecture - 28 Introduction to Recursive Least Squares

Lecture - 29 RLS Approach to Adaptive Filters

Lecture - 30 RLS Adaptive Lattice

Lecture - 31 RLS Lattice Recursions (P1)

Lecture - 32 RLS Lattice Recursions (P2)

Lecture - 33 RLS Lattice Algorithm

Lecture - 34 RLS Using QR Decomposition

Lecture - 35 Givens Rotation

Lecture - 36 Givens Rotation and QR Decomposition

Lecture - 37 Systolic Implementation

Lecture - 38 Systolic Implementation Contd.

Lecture - 39 Singular Value Decomposition (P1)

Lecture - 40 Singular Value Decomposition (P2)

Lecture - 41 Singular Value Decomposition (P3)

These Videos are available at the following link

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