14 search results - page 2 / 3 » Improving semistatic compression via phrase-based modeling |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
ASPLOS
1996
ACM
13 years 9 months ago
1996
ACM
Branch prediction is an important mechanism in modern microprocessor design. The focus of research in this area has been on designing new branch prediction schemes. In contrast, v...
SCALESPACE
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. The most popular lossy image compression method used on the Internet is the JPEG standard. JPEG’s good compression performance and low computational and memory complexi...
IAT
2005
IEEE
13 years 10 months ago
2005
IEEE
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...