Name
Abstract | ||
|---|---|---|
Many communication systems are bandwidth-expanding: the transmitted signal occupies a bandwidth larger than the symbol rate. The sampling theorems of Kotelnikov, Shannon, Nyquist et al. [1] shows that in order to represent a bandlimited signal, it is necessary to sample at what is popularly referred to as the Shannon or Nyquist rate. However, in many systems, the required sampling rate is very high and expensive to implement. In this work we show that it is possible to get suboptimal performance by sampling close to the symbol rate of the signal, using well-studied algorithmic components. This work is based on recent results on sampling for some classes of nonbandlimited signals [2]. In the present paper, we extend these sampling results to the case when there is noise.In our exposition, we use Ultra Wideband (UWB) signals as an example of how our framework can be applied. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICC.2002.997119 | 2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS |
Keywords | Field | DocType |
sampling theorem,kernel,bandwidth,shape,transmitters,nyquist rate,ultra wideband,sampling methods,symbol rate,communication systems,sampling rate,communication system,noise | Telecommunications,Oversampling,Bandlimiting,Symbol rate,Computer science,Sampling (signal processing),Algorithm,Real-time computing,Bandwidth (signal processing),Sampling (statistics),Nyquist–Shannon sampling theorem,Nyquist rate | Conference |
Citations | PageRank | References |
10 | 9.22 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julius Kusuma | 1 | 211 | 37.58 |
| A. Ridolfi | 2 | 38 | 12.20 |
| Martin Vetterli | 3 | 13926 | 2397.68 |