Sign up & Download
Sign in

Electrical and Electronic Engineering

In this discipline: 464,024 papers · 3,284 groups

Discipline summary

Electrical and electronics engineering is an engineering science that applies electricity and electromagnetism in a creative and practical manner. Outside of the United States, electrical engineering is considered to be focused on large-scale systems such as power and electronics engineering to be focused on small-scale systems such as computers. An alternative distinction refers to electrical engineering as the study and application of electricity to transmit energy and electronics engineering as the study and application of electricity to process systems. In the United States, there is no such distinction, and the distinction is becoming less definitive in other parts of the world as well, as the growing field of power electronics incorporates elements of both.

Popular papers

  1. Matrix identities, relations and approximations. A desktop reference for quick overview of mathematics of matrices.
  2. Wireless technology is a truly revolutionary paradigm shift, enabling multimedia communications between people and devices from any location. It also underpins exciting applications such as sensor networks, smart homes, telemedicine, and automated…
  3. Graphene is a rapidly rising star on the horizon of materials science and condensed-matter physics. This strictly two-dimensional material exhibits exceptionally high crystal and electronic quality, and, despite its short history, has already…
  4. We are developing a dual panel breast-dedicated PET system using LSO scintillators coupled to position sensitive avalanche photodiodes (PSAPD). The charge output is amplified and read using NOVA RENA-3 ASICs. This paper shows that the coincidence…
  5. This paper considers the model problem of reconstructing an object from incomplete frequency samples. Consider a discrete-time signal f&isin;C<sup>N</sup> and a randomly chosen set of frequencies &Omega;. Is it possible to reconstruct f from the…
  6. Suppose x is an unknown vector in R-m (a digital image or signal); we plan to measure n general linear functionals of x and then reconstruct. If x is known to be compressible by transform coding with a known transform, and we reconstruct via the…
  7. We study the question of feature sets for robust visual object recognition; adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of histograms of…
  8. Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical system. Moreover, it is typically crucial to process data…
  9. Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sensing literature have focused on characterizing the achievable…

Popular groups

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Already have an account? Sign in