Name
Abstract | ||
|---|---|---|
Fourier interpolation is a useful tool to reconstruct continuous signals from discrete samples. This correspondence derives Fourier interpolation expression from Fourier series for periodic signals and investigates its error expression and upper bound for general band-limited signals. Two numerical examples are given to interpret the meaning of the formulas. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TSP.2009.2016263 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
discrete sample,error expression,periodic signal,fourier interpolation,useful tool,numerical example,general band-limited signal,fourier interpolation error,continuous signal,fourier series,fourier interpolation expression,signal reconstruction,sampling methods,upper bound,interpolation,signal processing | Discrete-time Fourier transform,Mathematical optimization,Fourier sine and cosine series,Fourier analysis,Interpolation,Discrete Fourier series,Fourier series,Discrete Fourier transform,Mathematics,Trigonometric interpolation | Journal |
Volume | Issue | ISSN |
57 | 6 | 1053-587X |
Citations | PageRank | References |
3 | 0.43 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengguang Xu | 1 | 84 | 8.83 |
| Benxiong Huang | 2 | 168 | 19.36 |
| Kewei Li | 3 | 37 | 3.19 |