Name
Abstract | ||
|---|---|---|
In this paper, we present a joint blind channel estimation and symbol detection for decoding a blurred and noisy 1D barcode captured image. From an information transmission point of view, we show that the channel impulse response, the noise power and the symbols can be efficiently estimated by taking into account the signal structure such as the cyclostationary property of the hidden Markov process to estimate. Based on the Expectation-Maximisation method, we show that the new algorithm offers significative performance gain compared to classical ones pushing back the frontiers of the barcode technology. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GLOCOM.2010.5684145 | IEEE Global Telecommunications Conference (Globecom) |
Keywords | Field | DocType |
mathematical model,image restoration,estimation,noise,hidden markov models | Computer vision,Noise power,Pattern recognition,Computer science,Symbol,Communication channel,Artificial intelligence,Image restoration,Decoding methods,Barcode,Hidden Markov model,Cyclostationary process | Conference |
ISSN | Citations | PageRank |
1930-529X | 4 | 0.49 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noura Dridi | 1 | 4 | 0.83 |
| Yves Delignon | 2 | 164 | 16.55 |
| Wadih Sawaya | 3 | 25 | 6.35 |
| François Septier | 4 | 114 | 16.79 |