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Introduction to Microcontroller Timers: Periodic Timers

Introduction to Microcontroller Timers: Periodic Timers

This article, the first in a series on “timer/counter” functions in microcontrollers, discusses periodic timers.


Analog Design Trade-Offs in Applying Linearization Techniques Using Example CMOS Circuits

Analog Design Trade-Offs in Applying Linearization Techniques Using Example CMOS Circuits

This article will look at the trade-offs we face when trying to improve the linearity of a circuit.


Neural Network Architecture for a Python Implementation

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.


Understanding Training Formulas and Backpropagation for Multilayer Perceptrons

Understanding Training Formulas and Backpropagation for Multilayer Perceptrons

This article presents the equations that we use when performing weight-update computations, and we’ll also discuss the concept of backpropagation.


How to Train a Multilayer Perceptron Neural Network

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.


The Sigmoid Activation Function: Activation in Multilayer Perceptron Neural Networks

The Sigmoid Activation Function: Activation in Multilayer Perceptron Neural Networks

In this article, we’ll see why we need a new activation function for a neural network that is trained via gradient descent.


Advanced Machine Learning with the Multilayer Perceptron

Advanced Machine Learning with the Multilayer Perceptron

This article explains why high-performance neural networks need an extra “hidden” layer of computational nodes.


Assessing the ADC SNR and SFDR for Communications Systems

Assessing the ADC SNR and SFDR for Communications Systems

In this article, we will see how we can determine the SFDR for an ADC used in a radio receiver. Also, we’ll examine the ADC SNR requirement for this application.


Understanding Learning Rate in Neural Networks

Understanding Learning Rate in Neural Networks

This article discusses learning rate, which plays an important role in neural-network training.


How to Calibrate a Microcontroller Internal Oscillator: A DIY Trimming Procedure Algorithm

How to Calibrate a Microcontroller Internal Oscillator: A DIY Trimming Procedure Algorithm

This article presents an algorithm intended for humans to calibrate the internal oscillator of an MCU, with the help of an oscilloscope and a spreadsheet. An example experiment with numbers is also shown.


How to Calibrate MCU Internal Oscillators

How to Calibrate MCU Internal Oscillators

This article describes the internal RC oscillator calibration mechanism available in low-end microcontroller units. A basic calibration procedure and considerations on automated calibration are presented.


Introduction to the Synchronous Demodulation

Introduction to the Synchronous Demodulation

This article will discuss the basic idea behind the synchronous demodulation technique.


The Good and the Bad of MCU Internal Oscillators

The Good and the Bad of MCU Internal Oscillators

This article describes the benefits and requirements of the internal RC oscillator often available inside many low-cost Microcontroller units, including the calibration procedure to obtain the best possible accuracy.


Predicting Battery Degradation with a Trinket M0 and Python Software Algorithms

Predicting Battery Degradation with a Trinket M0 and Python Software Algorithms

Learn how to build a setup that will help you predict a battery's performance as it ages using a Trinket M0 and software algorithms.


Projects Dec 09, 2019 by Aaron Hanson
An Introduction to Training Theory for Neural Networks

An Introduction to Training Theory for Neural Networks

In this article, we’ll explore Perceptron training from a more theoretical perspective, focusing on the “error bowl.”


Understanding Different Definitions of the Spurious Free Dynamic Range (SFDR) Specification

Understanding Different Definitions of the Spurious Free Dynamic Range (SFDR) Specification

In this article, we’ll look at the spurious free dynamic range (SFDR) which is a popular specification for quantifying the linearity of a circuit.


AXI Interconnects Tutorial: Multiple AXI Masters and Slaves in Digital Logic

AXI Interconnects Tutorial: Multiple AXI Masters and Slaves in Digital Logic

This article will explore AXI interconnects, the digital logic that allows multiple AXI masters and AXI slaves to communicate.


Understanding Simple Neural Network Training

Understanding Simple Neural Network Training

In this article, we’ll review some important aspects of neural-net training, and then we’ll discuss the concept of overtraining.


How to Train a Basic Perceptron Neural Network

How to Train a Basic Perceptron Neural Network

This article presents Python code that allows you to automatically generate weights for a simple neural network.


Silicon Photomultiplier (SiPM) Structure, Characteristics, and Applications

Silicon Photomultiplier (SiPM) Structure, Characteristics, and Applications

Learn about the structure, characteristics, and applications of a silicon photomultiplier (SiPM).