Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anne J. Annema"'
Publikováno v:
IEEE transactions on circuits and systems II: express briefs, 65(12):8481701, 1834-1838. IEEE
A two channel 65 nm CMOS RF-waveform characterizer is presented that enables multi-harmonic Adaptive Matching Networks (AMN) or Adaptive Digital Pre-Distortion (ADPD) in RF-power amplifiers. The characterizer measures the DC component and the first 3
Publikováno v:
Fifth Conference on Sensors, MEMS, and Electro-Optic Systems, 2018, Skuluza, South Africa, 11043
The silicon avalanche-mode light-emitting diode (AMLED) opens a route for on-chip opto-electronic applications in standard CMOS, both due to its relatively broad spectral overlap with the spectral responsivity of silicon photodiodes and due to its hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::961023f2c42a24e9a9b148c90b97f054
https://doi.org/10.1117/12.2501315
https://doi.org/10.1117/12.2501315
Publikováno v:
Optics express, 25(5), 5440-5456. The Optical Society
This work presents a monolithic laterally-coupled wide-spectrum (350 nm < λ < 1270 nm) optical link in a silicon-on-insulator CMOS technology. The link consists of a silicon (Si) light-emitting diode (LED) as the optical source and a Si photodiode (
Autor:
Vishal Agarwal, Anne J. Annema, Peter G. Steeneken, Bram Nauta, Raymond J. E. Hueting, Satadal Dutta
Publikováno v:
Optics express, 25(15), 16981-16995. The Optical Society
Optics Express, 25(15)
Optics Express, 25(15)
This paper presents a low power monolithically integrated optical transmitter with avalanche mode light emitting diodes in a 140 nm silicon-on-insulator CMOS technology. Avalanche mode LEDs in silicon exhibit wide-spectrum electroluminescence (400 nm
Autor:
Hans Wallinga, Anne J. Annema
Publikováno v:
Feed-Forward Neural Networks ISBN: 9781461359906
In the previous chapter, some circuits that can be used in the forward-part of analog on-chip learning neural networks were presented. For on-chip learning neural networks, also on-chip weight adaptation hardware is required. In this chapter, a circu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55d6775ae229d9828e6c53f4918d56a4
https://doi.org/10.1007/978-1-4615-2337-6_13
https://doi.org/10.1007/978-1-4615-2337-6_13
Autor:
Anne J. Annema, Hans Wallinga
Publikováno v:
Neural networks, 2(3), 7-11. Elsevier
The demands on offsets in analog weight adaptation circuitry are very high for onchip learning feed-forward neural networks using a back-propagation type of learning rule. Exceeding of the specifications for weight adaptation offsets prevents the wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ee0feba7e0e1849b58229faf16b733f
https://research.utwente.nl/en/publications/ef7b0a8a-6c98-4e11-8c76-da062b6971ab
https://research.utwente.nl/en/publications/ef7b0a8a-6c98-4e11-8c76-da062b6971ab
Autor:
Anne J. Annema
Publikováno v:
Electronics letters, 30(7), 576-579. Institution of Engineering and Technology
In on-chip learning feedforward neural networks, both a nonlinear sigmoid-like function and its derivative are required. A simple CMOS circuit, based on a CMOS differential pair in weak inversion, that realises both functions is presented.