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Analog and Digital Implementation of a Synchronous Demodulator

Analog and Digital Implementation of a Synchronous Demodulator

In this article, we’ll take a look at the analog blocks for implementing the square wave-based synchronous demodulator.


Using Power Spectral Density (PSD) to Characterize Noise

Using Power Spectral Density (PSD) to Characterize Noise

Learn about how power spectral density (PSD) helps us to examine the effect of a noise source on the output of a linear time-invariant (LTI) system.


Watchdog Timers in Microcontrollers

Watchdog Timers in Microcontrollers

This article is the fourth of a series on microcontroller timers which discusses internal watchdogs.


 Real Time Clocks (RTCs) in Microcontroller Timers

Real Time Clocks (RTCs) in Microcontroller Timers

This article is the third of a series on microcontroller timers which describes the RTCs inside a microcontroller.


Pulse-width Modulation (PWM) Timers in Microcontrollers

Pulse-width Modulation (PWM) Timers in Microcontrollers

This article is the second of a series on microcontroller timers. This article describes a more complex timer called the PWM or pulse-width modulation timer.


Understanding Local Minima in Neural-Network Training

Understanding Local Minima in Neural-Network Training

This article discusses a complication that can prevent your Perceptron from achieving adequate classification accuracy.


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.


Synchronous Demodulation Using Analog Multipliers vs. Switch-based Multipliers

Synchronous Demodulation Using Analog Multipliers vs. Switch-based Multipliers

In this article, we’ll look at the pros and cons of using a switch-based multiplier.


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.


Signal Processing Using Neural Networks: Validation in Neural Network Design

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.


How to Create a Multilayer Perceptron Neural Network in Python

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.


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.