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CEE
2010
70views more  CEE 2010»
14 years 10 months ago
An iterative linearised solution to the sinusoidal parameter estimation problem
Signal processing applications use sinusoidal modelling for speech synthesis, speech coding, and audio coding. Estimation of the model parameters involves non-linear optimisation ...
Jean-Marc Valin, Daniel V. Smith, Christopher Mont...
HPCC
2007
Springer
15 years 1 months ago
An Exploration of Performance Attributes for Symbolic Modeling of Emerging Processing Devices
Vector, emerging (homogenous and heterogeneous) multi-core and a number of accelerator processing devices potentially offer an order of magnitude speedup for scientific application...
Sadaf R. Alam, Nikhil Bhatia, Jeffrey S. Vetter
VLSID
1993
IEEE
234views VLSI» more  VLSID 1993»
15 years 2 months ago
NPCPL: Normal Process Complementary Pass Transistor Logic for Low Latency, High Throughput Designs
High throughput and low latency designs are required in modern high performance systems, especially for signal processing applications. Existing logic families cannot provide both...
Debabrata Ghosh, S. K. Nandy, K. Parthasarathy, V....
111
Voted
EDOC
1997
IEEE
15 years 2 months ago
Tele-Education Process Modelling Supported by The ODP Enterprise Viewpoint Language
This paper reports on applying the ODP enterprise viewpoint in the domain of tele-education. The work is conducted as part of a research activity1 that aims at designing a tele-ed...
Cees Volman, Val Jones, Marten van Sinderen, Ing W...
AROBOTS
2011
14 years 4 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox