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pro vyhledávání: '"L. Rigazio"'
Akademický článek
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The modeling of the core power-delivery network of digital integrated circuits (ICs) is addressed by a black-box approach, leading to an n-port equivalent of the IC. The model parameters are estimated from external measurements carried out at the IC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6658829a8810c00802d5748e9fd0a9b4
http://hdl.handle.net/11583/2373679
http://hdl.handle.net/11583/2373679
Autor:
Igor Simone Stievano, Flavio Canavero, Jose C. Pedro, F. Vitale, L. Rigazio, Telmo R. Cunha, A. Girardi, Hugo M. Teixeira, R. Izzi
This paper addresses the generation of behavioral models of digital integrated circuits (ICs) for signal and power integrity simulations. The proposed models are obtained by external measurements carried out at the device ports only and by the combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::045e8b59dc116c04445a5f03314a8e18
http://hdl.handle.net/11583/2373678
http://hdl.handle.net/11583/2373678
Publikováno v:
2009 IEEE 18th Conference on Electrical Performance of Electronic Packaging and Systems.
This paper addresses the generation of behavioral models of digital ICs for signal and power integrity simulations. The proposed models are obtained by external port measurements and by the combined application of specialized state-of-the-art modelin
Autor:
Igor Simone Stievano, T. Lessio, A. Conci, Hugo M. Teixeira, I.A. Maio, R. Izzi, Jose C. Pedro, L. Rigazio, Telmo R. Cunha, A. Girardi, Flavio Canavero
Publikováno v:
2009 IEEE Workshop on Signal Propagation on Interconnects.
This paper focuses on the power delivery characterization of high-speed IC memories by means of on-chip measurements. A systematic analysis of the measurement setup, of the effects of chip biasing and of the use of the measured responses to develop m
Publikováno v:
ICASSP (1)
Our previous study on maximum relative margin estimation (MRME) of HMM (C. Liu et al., 2005) demonstrated its advantage over the standard minimum classification error (MCE) training. In this paper, we report our recent improvement on MRME. Specifical
Publikováno v:
IEEE Workshop on Automatic Speech Recognition and Understanding, 2005..
Based on the principle of large margin classifier, recently we proposed two novel training methods, namely large margin estimation (LME) [8] and maximum relative margin estimation (MRME) [9] for speech recognition. In LME or MRME, HMM parameters are
Publikováno v:
ICASSP
The "eigenvoice" technique achieves rapid speaker adaptation by employing prior knowledge of speaker space obtained from reference speakers to place strong constraints on the initial model for each new speaker. It has previously been shown to yield v
The paper describes the implementation of a massively parallel cellular architecture specifically designed for a number of tasks related to the physical verification and synthesis of integrated circuits. The machine has been designed to operate as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9cc9b6dd3c1117e6eb12e8f32dfef48
http://hdl.handle.net/11583/1676228
http://hdl.handle.net/11583/1676228
Akademický článek
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