The Least Mean Squares (LMS) Algorithm can be used in a range of Digital Signal Processing applications such as echo cancellation and acoustic noise reduction. This laboratory shows how to design a model of LMS Noise Cancellation using Simulink and run it on a Texas Instruments C6000 DSP.
Subject:
Mathematics and Statistics, Science and Technology
In this laboratory, students implement a real-time adaptive FIR filter, investigate the convergence of the least mean squares (LMS) algorithm, and apply the adaptive filter to the problems of system identification and echo cancellation.
This module introduces adaptive filters through the example of system identification using the LMS algorithm. The adaptive filter adjusts its coefficients to minimize the mean-square error between its output and that of an unknown system.
Download the supporting PDF file for this episode http://bit.ly/aL55Yj from the Learning to Teach Online project website.
In this Learning to Teach Online http://bit.ly/d18ac5 episode we look at two different types of online learning environments: a centralised Learning Management System (LMS), and free open access social media (such as Twitter, YouTube, Facebook, etc). We discuss the benefits of each and highlight some important issues that need to be considered when using each of them.
Subject:
Arts, Business, Humanities, Mathematics and Statistics, Science and Technology, Social Sciences
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