318 search results - page 2 / 64 » Learning to Construct Fast Signal Processing Implementations |
ICASSP
2011
IEEE
12 years 10 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 11 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 4 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 10 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 29 days 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 ...