Editors Note: The first in a three-part introduction to Linear Feedback Shift Registers (LFSRs), this article is abstracted from the book Bebop to the Boolean Boogie (An Unconventional Guide to ...

If you are new to scikit-learn and regression analysis, this tutorial will help you learn by implementing simple linear regression models. For those who want to delve deeper, follow the upcoming ...

A linear function approximator is a function y=f(x,w) that is linear in the weights, though not necessarily linear in the input x: Linear function approximators have several nice properties. For ...

Abstract: The aim of this article is to give a tutorial overview of frequency response function (FRF) or impulse response (IR) function measurements of linear dynamic systems. These nonparametric ...

Abstract: Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial focuses on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding.

Finding the slope of a linear function is straightforward. Furthermore the slope is the same at each point on the function. However this is not the case with non-linear functions. A non-linear ...