Discrete signal processing methods form the backbone of modern frequency estimation, converting time-domain data into insight about underlying spectral components. At its foundation lies the discrete ...

This Design Brief introduces a computationally efficient network that computes the derivative of a discrete time-domain (digital) sequence. While recursive differentiating networks exist, this article ...

CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...

Fig 1. Density addition and subtraction can easily separate these audio channels before digitalization. Fig 2. Density multiplication can easily be used to multiply these two inputs in several ...

In the era of big data, signal processing faces significant challenges in terms of capacity and energy consumption due to the torrent of data to process. With over 90% of data transmitted through ...

Analog circuit design is increasingly encountering mixed-signal circuits, and analog engineers need some understanding of discrete-time sampling circuits, whether they are sample-and-hold circuits or ...

In Mixed-Signal Circuits, Part 1: From s to z – The Discrete Complex-Frequency Domain, discrete-time analog circuit analysis introduced the z-domain, a simple shortcut from discrete time-domain ...

The notion of “signal processing” might seem like something impenetrably complex, even to scientists. However, the fact is that most of them have already being doing it for a long time, albeit in an ...

Discrete cosine transform (DCT) based digital video coding standards such as MPEG and H.26x are becoming more widely adopted for multimedia applications. Since the standards differ in their format and ...