Name
Title | ||
|---|---|---|
Dynamic Threshold Detection Using Clustering in the Presence of Channel Mismatch and Additive Noise |
Abstract | ||
|---|---|---|
We report on the feasibility of k-means clustering techniques for the dynamic threshold detection of encoded q-ary symbols transmitted over a noisy channel with partially unknown channel parameters. We first assess the performance of k-means clustering technique without dedicated constrained coding. We apply constrained codes which allows a wider range of channel uncertainties so improving the detection reliability. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ACCESS.2020.2968945 | IEEE ACCESS |
Keywords | DocType | Volume |
Data storage systems,non-volatile memories,channel mismatch,k-means clustering,dynamic threshold detection | Journal | 8 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kees A. Immink | 1 | 0 | 0.34 |
| Kui Cai | 2 | 0 | 0.34 |