318 search results - page 2 / 64 » Learning to Construct Fast Signal Processing Implementations |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The Probability Hypothesis Density (PHD) is a well-known method for single-sensor multi-target tracking problems in a Bayesian framework, but the extension to the multi-sensor cas...
ISCAS
2003
IEEE
13 years 10 months ago
2003
IEEE
In this paper, we use a digital signal processor (DSP) to implement a real-time H.263+ codec. We use fast algorithms to reduce the codec computational complexity. Furthermore, the...
ICASSP
2009
IEEE
13 years 3 months ago
2009
IEEE
Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...
ASYNC
2001
IEEE
13 years 9 months ago
2001
IEEE
This paper describes the synthesis and hardware implementation of a signal-type asynchronous data communication mechanism (ACM). Such an ACM can be used in systems where a data-dr...
ICASSP
2009
IEEE
14 years 9 hour ago
2009
IEEE
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...