Name
Title | ||
|---|---|---|
From compressed sensing to compressed bit-streams: practical encoders, tractable decoders. |
Abstract | ||
|---|---|---|
Compressed sensing is now established as an effective method for dimension reduction when the underlying signals are sparse or compressible with respect to some suitable basis or frame. One important, yet under-addressed problem regarding the compressive acquisition of analog signals is how to perform quantization. This is directly related to the important issues of how “compressed” compressed sen... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIT.2017.2731965 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
Encoding,Quantization (signal),Compressed sensing,Random variables,Decoding,Measurement uncertainty,Sensors | Journal | 64 |
Issue | ISSN | Citations |
9 | 0018-9448 | 5 |
PageRank | References | Authors |
0.46 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rayan Saab | 1 | 149 | 14.56 |
| Rongrong Wang | 2 | 7 | 1.90 |
| Özgür Yilmaz | 3 | 685 | 51.36 |