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» On Multiple Linear Approximations
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VLSID
2001
IEEE
164views VLSI» more  VLSID 2001»
16 years 4 months ago
An Efficient Parallel Transparent Bist Method For Multiple Embedded Memory Buffers
In this paper, we propose a new transparent built-in self-test ( TBIST ) method to test multiple embedded memory arrays with various sizes in parallel. First, a new transparent tes...
Der-Cheng Huang, Wen-Ben Jone, Sunil R. Das
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 6 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
ICPR
2006
IEEE
16 years 5 months ago
A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction
A regression model in the tensorPCA subspace is proposed in this paper for face super-resolution reconstruction. An approximate conditional probability model is used for the tenso...
Junwen Wu, Mohan M. Trivedi
VTC
2008
IEEE
129views Communications» more  VTC 2008»
15 years 10 months ago
A Stochastic Gradient LMS Algorithm for Digital Compensation of Tx Leakage in Zero-IF-Receivers
Abstract— In frequency division duplex transceivers the transmit signal is leaking through the duplexer into the receive branch. For the case of Zero-IF receivers the nonlinearit...
Andreas Frotzscher, Gerhard Fettweis
DATE
2007
IEEE
126views Hardware» more  DATE 2007»
15 years 10 months ago
WAVSTAN: waveform based variational static timing analysis
— We present a waveform based variational static timing analysis methodology. It is a timing paradigm that lies midway between convention static delay approximations and full dyn...
Saurabh K. Tiwary, Joel R. Phillips