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73
Voted
ICASSP
2008
IEEE
15 years 4 months ago
A new class of lifting wavelet transform for guaranteeing losslessness of specific signals
This paper proposes a new class of lifting wavelet transform which can guarantee losslessness of specific signals, e.g. white balance. The 5/3 wavelet transform composed of two li...
Hitoshi Kiya, Masahiro Iwahashi, Osamu Watanabe
80
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Application of sparse signal recovery to pilot-assisted channel estimation
We examine the application of current research in sparse signal recovery to the problem of channel estimation. Specifically, using an Orthogonal Frequency Division Multiplexed (O...
Matthew Sharp, Anna Scaglione
70
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Time-frequency localization from sparsity constraints
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...
Pierre Borgnat, Patrick Flandrin
ICASSP
2008
IEEE
15 years 4 months ago
Distributed compressed sensing: Sparsity models and reconstruction algorithms using annihilating filter
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
Ali Hormati, Martin Vetterli
83
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Forensic techniques for classifying scanner, computer generated and digital camera images
Digital images can be captured or generated by a variety of sources including digital cameras, scanners and computer graphics softwares. In many cases it is important to be able t...
Nitin Khanna, George T.-C. Chiu, Jan P. Allebach, ...