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Electrical and Electronic Engineering

In this discipline: 423,838 papers · 3,091 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. 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…
  2. Matrix identities, relations and approximations. A desktop reference for quick overview of mathematics of matrices.
  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. 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…
  5. 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…
  6. 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…
  7. 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

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