Two lessons on the LMS algorithm are now available in the Minimum Mean-Square Error Filtering and Least-Squares Problems lesson category. The LMS algorithm is a simple iterative approach to finding a minimum mean-squared error filter or equivalently, solving a least-squares problem. It is widely used in signal processing and related fields and is a powerful […]
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Minimum Mean-Square Filtering and Least Squares Problems
You may already know that minimum mean-squared error (MMSE) filtering and least squares methods are widely used in signal processing and related fields such as data analytics. We have begun to provide coverage of these important topics for you. You will find the first two lessons introducing the topic and solving for the MMSE filter […]
New Content: Exercises, Explorations, and Problems
In response to numerous requests we've begun a significant upgrade to AllSignalProcessing.com - the addition of Exercises, Explorations, and Problems. All of these are designed to give you practice applying the concepts introduced in many of the lessons. Exercises tend to be mostly pencil and paper practice while Explorations are primarily MATLAB based. Problems are […]
Concussion and AllSP
This post is not about the recent movie on brain damage discovered in (American) football players by Dr. Bennet Omalu. It is about my own recent journey. I rarely share personal information over the internet. However, I want to give those of you who follow AllSignalProcessing.com some context for my reduced level of activity on the site over the past […]
AllSignalProcessing Logo
Thanks to the graphic design talents of friend Brett Sackett, we now have a logo. The loose squares coming together are a symbol for our mission of bringing what often appear as unconnected pieces of signal processing together into a coherent, clear picture. Our goal is to give you a solid foundation for applying signal processing. […]
Introductory Lessons on Two-Dimensional Signal Processing
The stunning images of Pluto sent to Earth recently draw our attention to the topic of image processing and the general notion of processing signals that have more than one independent variable. Familiar concepts for one-dimensional signal processing are easily extended to two- and higher-dimensional signal processing. We've recently uploaded two new lessons introducing these extensions. The lesson […]
