Learn about the immittance Smith chart (ZY Smith chart), the effect of adding series and parallel components, impedance matching, and finding a two-element matching network.
March 31, 2023 by Dr. Steve Arar
Learn about voltage waves and how they relate to an important basic concept of radio frequency (RF) circuit design: transmission lines.
January 13, 2023 by Dr. Steve Arar
Learn about some of the main Internet of Things (IoT) network communication protocols.
June 10, 2022 by Ignacio de Mendizábal
In this article, get a basic understanding of wireless communication networks—LoRa and LoRaWAN.
April 17, 2022 by Brandon Satrom
Learn the basics of 5G NR (New Radio), including its frequency bands, applications, and what technologies make it possible.
October 15, 2021 by Dale Wilson
In this article, we’ll discuss why a discrete implementation cannot provide a high accuracy in resistive current sensing.
August 15, 2021 by Dr. Steve Arar
This article explores an interesting connection between an important statistical measure and one of the fundamental analytical tools of electrical engineering.
July 28, 2020 by Robert Keim
In this article, we’ll look at different EV charging modes specified by the International Electrotechnical Commission (IEC).
July 27, 2020 by Dr. Steve Arar
This article discusses three descriptive statistical measures from the perspective of signal-processing applications.
July 10, 2020 by Robert Keim
This article discusses a complication that can prevent your Perceptron from achieving adequate classification accuracy.
February 06, 2020 by Robert Keim
This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language such as Python.
February 05, 2020 by Robert Keim
In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer dimensionality and network performance.
February 04, 2020 by Robert Keim
This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.
January 31, 2020 by Robert Keim
In this article, we’ll use Excel-generated samples to train a multilayer Perceptron, and then we’ll see how the network performs with validation samples.
January 30, 2020 by Robert Keim
This article explains why validation is particularly important when we’re processing data using a neural network.
January 28, 2020 by Robert Keim
This article takes you step by step through a Python program that will allow us to train a neural network and perform advanced classification.
January 19, 2020 by Robert Keim
This article discusses the Perceptron configuration that we will use for our experiments with neural-network training and classification, and we’ll also look at the related topic of bias nodes.
January 09, 2020 by Robert Keim
We can greatly enhance the performance of a Perceptron by adding a layer of hidden nodes, but those hidden nodes also make training a bit more complicated.
December 26, 2019 by Robert Keim
In this article, we’ll see why we need a new activation function for a neural network that is trained via gradient descent.
December 25, 2019 by Robert Keim
This article discusses learning rate, which plays an important role in neural-network training.
December 19, 2019 by Robert Keim
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