Title | ||
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A Novel Demodulation Technique for Recovering PPM Signals in the Presence of Additive Noise |
Abstract | ||
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In this paper, we propose a novel method for demodulating Pulse Position Modulation (PPM) signals based on Reed-Solomon decoding algorithm. It is shown that the proposed technique outperforms the conventional demodulating method base on Reed-Solomon algorithm in case that the PPM signals are corrupted by Additive White Gaussian Noise (AWGN). |
Year | DOI | Venue |
---|---|---|
2004 | 10.1007/978-3-540-27824-5_73 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
reed solomon,additive white gaussian noise | Signal processing,Demodulation,Pulse-position modulation,Computer science,Algorithm,Real-time computing,Speech recognition,Decoding methods,Additive white Gaussian noise,Signal reconstruction,Nonuniform sampling | Conference |
Volume | ISSN | Citations |
3124 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Paeiz Azmi | 1 | 216 | 36.23 |
Farrokh Marvasti | 2 | 113 | 13.55 |