Latest Wireless Networking Technical Articles

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The Fundamentals of Time-Sensitive Networking

Learn about the benefits of time-sensitive networking (TSN) and how engineers use it to ensure that an industrial system is ready for the future. This article focuses on three members of the set of TSN standards.

January 19, 2021 by Jeff Steinheider, NXP Semiconductors

Choosing the Right Redriver or Retimer Device to Extend PCIe Protocol Signal Range

Redriver or retimer devices can extend the Peripheral Component Interface Express (PCIe®) protocol signal range. This article discusses how to select the best one for compute system and NVMe™ storage applications today and into the future.  

January 12, 2021 by Tam Do, Microchip

Circuit Protection, Control, and Sensing Design Considerations for Smart Home Security Applications

This article explores components that protect and control their circuits in smart home security applications, specifically components for protecting wired and wireless security cameras and wired doorbell cameras.

December 22, 2020 by Ryan Sheahen, Littelfuse

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

Adding an ISP and Machine Learning Acceleration to the i.MX 8M Family

Learn how the i.MX 8M Plus applications processor enables edge computing, speeding up machine learning for a variety of applications including industrial tasks.

November 10, 2020 by Ben Eckermann, NXP Semiconductors

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 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

Overcoming CAN Design Challenges: How to Easily Terminate CAN Signals

This article explores and provides answers to some common questions associated with CAN design and implementation challenges — in particular, signal termination in CAN systems.

April 14, 2020 by Eric Hackett, Texas Instruments

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

Implementing LoRa-based Solutions for Smart Metering

This article explores the use of LoRa devices for long-range, low power smart metering of utilities, which allows for remote daily operations and the collection of data.

January 07, 2020 by Rémi Demerlé, Semtech

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

Utilizing INICnet for Automotive Networking and Connectivity

In this article, learn about INICnet and how it helps to solve the question of how designers can create a safe and effective connectivity method for vehicles.

December 03, 2019 by Carmelo De Mola, Microchip