In a series of recent articles on nonparametric regression, Donoho and Johnstone developed wavelet-shrinkage methods for recovering unknown piecewise-smooth deterministic signals from noisy data.

A set of functions are presented for Octave/MATLAB that allow easy, consistent, and properly scaled DFT/FFT analysis of signals and noise. The techniques and functions presented are easily translated ...

Increasing evidence has emerged for non-random spatial distributions of microbes, but knowledge of the processes that cause variation in microbial assemblage among ecosystems is lacking. For instance, ...

As manufacturers deploy automated equipment that increases production times and improves precision, they’re continuing to use deterministic networks to keep assembly lines moving at a rapid pace. Once ...

An EDN Design Idea (DI) presented a discussion of how to increase the resolution of an ADC by adding a non-deterministic, zero-mean, Gaussian noise dither waveform to a signal to be converted; then, ...

Hiding in fog: disturbances to light’s natural noise reveals object’s location. (Courtesy: Aristide Dogariu, University of Central Florida) A simple, optical technique for tracking obscured or hidden ...

This file type includes high-resolution graphics and schematics when applicable. The terms noise and jitter can mistakenly be confused, even more so as data rates and signal amplitudes have changed ...