In signal processing, sampling is reducing a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a ...

This week, I revisited one of the fundamental principles in Digital Signal Processing: the Sampling Theorem, introduced by Whittaker, Nyquist, and Shannon. The project aimed to demonstrate how ...

Agilent Technologies announced the availability of MathWorks' MATLAB data analysis software with the purchase of its 86100C DCA-J oscilloscope. Combining the wideband sampling oscilloscope with MATLAB ...

This repository contains the MATLAB implementation for the "pool-and-subset" algorithm described in the paper Improving Uniformity of Vertex Distributions in Spherical Sampling of Metamer Mismatch ...

In this article I will cover some practical concepts around sampling methods to generate random numbers in MATLAB. As I have written before, one characteristic of many discrete event simulations is ...

Abstract: In the design of electronic or communication systems, the front-end of the system often obtains analog signals through sensors and other devices, which needs to be converted into digital ...