So, I was consulting into one of our teams that was putting together a cool data acquisition subsystem. They wanted to use (OK, I admit it, I also wanted them to use) my DIY AC line filter (as written ...

It’s a counterintuitive result that you might need to add noise to an input signal to get the full benefits from oversampling in analog to digital conversion. [Paul Allen] steps us through a simple ...

The sources of noise in a signal chain can be either internal or external. Managing noise in the signal chain requires meticulous examination of each circuit in the chain to minimize noise where ...

Over the past decades, the high-speed analog-to-digital converter (ADC) performance metric that mattered to most has changed, albeit slowly. Primarily as a result of signal acquisition systems’ ever ...

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

A signal-to-noise ratio (SNR) lets us express the relationship between signal and noise powers, as well as between the root-mean-square (rms) values of signal and noise voltages: SNR (dB) = ...

This file type includes high resolution graphics and schematics. Delta-sigma analog-to-digital converters (ADCs) are fascinating—almost mythical in their ability to support low- to medium-speed and ...

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...

Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how to do this while still retaining as much of the model quality as possible, ...