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TIT
2010
174views Education» more  TIT 2010»
13 years 2 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
TE
2010
104views more  TE 2010»
13 years 2 months ago
Integrating Asynchronous Digital Design Into the Computer Engineering Curriculum
Abstract--As demand increases for circuits with higher performance, higher complexity, and decreased feature size, asynchronous (clockless) paradigms will become more widely used i...
Scott C. Smith, Waleed Al-Assadi, Jia Di
DAC
2010
ACM
13 years 7 months ago
Adaptive and autonomous thermal tracking for high performance computing systems
Many DTM schemes rely heavily on the accurate knowledge of the chip's dynamic thermal state to make optimal performance/ temperature trade-off decisions. This information is ...
Yufu Zhang, Ankur Srivastava
WOSP
2010
ACM
14 years 2 months ago
SLA-driven planning and optimization of enterprise applications
We propose a model-based methodology to size and plan enterprise applications under Service Level Agreements (SLAs). Our approach is illustrated using a real-world Enterprise Reso...
Hui Li, Giuliano Casale, Tariq N. Ellahi
TIT
2008
141views more  TIT 2008»
13 years 7 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli