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TSP
2010
13 years 6 months ago
Joint detection and estimation of multiple objects from image observations
The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as ...
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Sute...
TSP
2010
13 years 6 months ago
Sampling piecewise sinusoidal signals with finite rate of innovation methods
We consider the problem of sampling piecewise sinusoidal signals. Classical sampling theory does not enable perfect reconstruction of such signals since they are not bandlimited. ...
Jesse Berent, Pier Luigi Dragotti, Thierry Blu
TSP
2010
13 years 6 months ago
A recursive method for the approximation of LTI systems using subband processing
Using the subband technique, an LTI system can be implemented by the composition of an analysis filterbank, followed by a transfer matrix (subband model) and a synthesis filterbank...
Damián Marelli, Minyue Fu
TSP
2010
13 years 6 months ago
A continuous-time linear system identification method for slowly sampled data
Both direct and indirect methods exist for identifying continuous-time linear systems. A direct method estimates continuous-time input and output signals from their samples and the...
Damián Marelli, Minyue Fu
TSP
2010
13 years 6 months ago
Unbiased model combinations for adaptive filtering
Suleyman Serdar Kozat, Andrew C. Singer, Alper T. ...
TSP
2010
13 years 6 months ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan
TSP
2010
13 years 6 months ago
Generalized triangular decomposition in transform coding
A general family of optimal transform coders (TCs) is introduced here based on the generalized triangular decomposition (GTD) developed by Jiang et al. This family includes the Kar...
Ching-Chih Weng, Chun-Yang Chen, P. P. Vaidyanatha...
TSP
2010
13 years 6 months ago
Block-sparse signals: uncertainty relations and efficient recovery
We consider efficient methods for the recovery of block-sparse signals--i.e., sparse signals that have nonzero entries occurring in clusters--from an underdetermined system of line...
Yonina C. Eldar, Patrick Kuppinger, Helmut Bö...