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Mismatch Loss and Mismatch Uncertainty Via Attenuators and Statistical Models

Mismatch Loss and Mismatch Uncertainty Via Attenuators and Statistical Models

Learn about the effect of mismatch loss on a lossy line, a method to reduce the mismatch loss through fixed attenuators, and the statistical models of this error.


Exploring the Basics of Bluetooth Low Energy: A Beginners Guide To BLE

Exploring the Basics of Bluetooth Low Energy: A Beginners Guide To BLE

Learn about the Bluetooth low energy (BLE) wireless communication protocol, namely its features, protocol stack, and how it communicates with devices.


Mismatch Loss Effect on RF Power Measurement and Gain of Cascaded Amplifiers

Mismatch Loss Effect on RF Power Measurement and Gain of Cascaded Amplifiers

Using the mismatch loss equations, learn about the effect of mismatch loss on RF power measurement and the gain of cascaded amplifiers.


Transmission Line Theory: Observing the Reflection Coefficient and Standing Wave

Transmission Line Theory: Observing the Reflection Coefficient and Standing Wave

Learn about radio frequency (RF) wave propagation and reflection via transmission lines, equations, and example waveforms.


A Primer on Digital Pulse Amplitude Modulation

A Primer on Digital Pulse Amplitude Modulation

An encoding technique used for digital communication, pulse amplitude modulation (PAM) converts a discrete-time signal into a variable-amplitude continuous-time signal that is suitable for high-speed wired communication systems.


IoT Communication Protocols—IoT Data Protocols

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.


IoT Communication Protocols—Network Protocols

IoT Communication Protocols—Network Protocols

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


Demystifying LoRa and LoRaWAN Wireless Network Protocols

Demystifying LoRa and LoRaWAN Wireless Network Protocols

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


Intro to 5G NR

Intro to 5G NR

Learn the basics of 5G NR (New Radio), including its frequency bands, applications, and what technologies make it possible.


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

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.


Examining the Negative Resistance of a Quartz Crystal Oscillator

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”.


The Elmore Delay Model in VLSI Design

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.


How Standard Deviation Relates to Root-Mean-Square Values

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.


The Four EV Charging Modes in the IEC 61851 Standard

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).


Sample-Size Compensation in Standard Deviation Calculations

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.


Average Deviation, Standard Deviation, and Variance in Signal Processing

Average Deviation, Standard Deviation, and Variance in Signal Processing

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


Incorporating Bias Nodes Into Your Neural Network

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.


How to Increase the Accuracy of a Hidden Layer Neural Network

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.


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

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.


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

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.