FREQUENCY ESTIMATION BY IDFT AND QUANTIZATION NOISE |
|---|
| D. Agrez |
- Abstract:
- Possibilities of error reductions of the frequency estimation by the multipoint interpolated discrete Fourier transform (IDFT) for rectangular and von Hann windows are described. An analysis is made to study the influence of the timedomain noise on the results of a DFT and interpolations. The quantization noise influence on the amplitude coefficients of DFT is in first approximation modeled by white noise in the time domain and Gaussian noise in the frequency domain. The noise influences on estimations are increased with the root of a number of the interpolation points, that is with apparent effective narrowing of the tapered window. Interpolations with larger number of points decrease the systematic errors and increase the noise distortion of results, with smaller number of points there is an inverse appearance. Increasing a number of the used DFT coefficients is reasonable until the systematic error drops under the noise floor.
- Keywords:
- frequency estimation, IDFT, quantization noise
- Download:
- IMEKO-WC-2000-UNC-P493.pdf
- DOI:
- -
- Event details
- Event name:
- XVI IMEKO World Congress
- Title:
Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future
- Place:
- Vienna, AUSTRIA
- Time:
- 25 September 2000 - 28 September 2000