Latest Wireless Networking Technical Articles

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Investigate RF Power Amplifier Linearization Benefits in EDA

This application note is a collaborative work between Cadence and Rohde & Schwarz and focuses on performance enhancements through linearization of non-linear devices as early as possible in the design process. Using an RF power amplifier (PA) as the reference, we discuss benefits which can be achieved with linearization techniques such as digital predistortion (DPD).

In partnership with Rohde & Schwarz

IoT Communication Protocols—IoT Data Protocols

Dive deeper into the Internet of Things (IoT) communication through a brief overview of the different IoT data protocols.

June 16, 2022 by Ignacio de Mendizábal

IoT Communication Protocols—Network Protocols

Learn about some of the main Internet of Things (IoT) network communication protocols.

June 10, 2022 by Ignacio de Mendizábal

Demystifying LoRa and LoRaWAN Wireless Network Protocols

In this article, get a basic understanding of wireless communication networks—LoRa and LoRaWAN.

April 17, 2022 by Brandon Satrom

Intro to 5G NR

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

Learn How Integrated Solutions Can Increase the Accuracy of Resistive Current Sensing

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

Examining the Negative Resistance of a Quartz Crystal Oscillator

This article discusses how we can examine the oscillator circuit to make sure that it has sufficient “negative resistance” or “oscillation allowance”.

June 18, 2021 by Dr. Steve Arar

The Elmore Delay Model in VLSI Design

In this article, we'll discuss the Elmore delay model, which provides a simplistic delay analysis that avoids time-consuming numerical integration/differential equations of an RC network.

November 11, 2020 by Tosin Jemilehin

How Standard Deviation Relates to Root-Mean-Square Values

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

The Four EV Charging Modes in the IEC 61851 Standard

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

Sample-Size Compensation in Standard Deviation Calculations

This article discusses Bessel’s correction, which helps us to more accurately estimate the standard deviation of certain parameters and of long-duration signals.

July 21, 2020 by Robert Keim

Average Deviation, Standard Deviation, and Variance in Signal Processing

This article discusses three descriptive statistical measures from the perspective of signal-processing applications.

July 10, 2020 by Robert Keim

Incorporating Bias Nodes Into Your Neural Network

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

How to Increase the Accuracy of a Hidden Layer Neural Network

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

How Many Hidden Layers and Hidden Nodes Does a Neural Network Need?

This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.

January 31, 2020 by Robert Keim

Training Datasets for Neural Networks: How to Train and Validate a Python Neural Network

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

Signal Processing Using Neural Networks: Validation in Neural Network Design

This article explains why validation is particularly important when we’re processing data using a neural network.

January 28, 2020 by Robert Keim

How to Create a Multilayer Perceptron Neural Network in Python

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

Neural Network Architecture for a Python Implementation

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

How to Train a Multilayer Perceptron Neural Network

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