Implementation and performance analysis of LMS algorithm

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Reference no: EM132182199

Assignment -

Prepare report for LAB 2.

Lab2: Implementation and performance analysis of LMS algorithm

Introduction: During the laboratory we will Implementation and performance analysis of the least mean square (LMS) adaptive filter also we can learn the Characteristics of adaptive filters As well as the Identity parameter function and study them carefully and draw the signal input ,output, noise and filter response. Then discuss the results that will get them.

Objectives:

This lab will briefly describe the following topics:

1. Implementation of the LMS algorithm.

2. Convergence analysis of the LMS algorithm.

3. Influence of the adaptation constant on convergence rate and maladjustment of the LMS filter

Plan of experiments:

1. Implementation of the LMS algorithm.

2. Convergence analysis of the LMS algorithm.

3. Influence of the adaptation constant on convergence rate and maladjustment of the LMS filter

Note - Attached SAMPLE REPORT for how you have to prepare report for lab. Note: You have to resolve the red comment in EASP_lab2.pdf. Code is also provided to so it is easier to comment. You can also convert EASP_lab2.pdf to word and edit the red comments and send me updated solution that's all.

Attachment:- Assignment Files.rar

Reference no: EM132182199

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len2182199

11/30/2018 10:29:10 PM

SAMPLE REPORT I am sending you how you have to prepare report for LAB 2. Note: You have to resolve the red comment in EASP_lab2.pdf. Code is also provided to so it is easier to comment. You can also convert EASP_lab2.pdf to word and edit the red comments and send me updated solution that's all.

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