Frequency Estimation from Few Measurements

  title={Frequency Estimation from Few Measurements},
  author={R. Adelson},
  journal={Digit. Signal Process.},
  • R. Adelson
  • Published 1997
  • Computer Science
  • Digit. Signal Process.
A formula is given whereby the frequency, amplitude and phase of a sinewave signal can be obtained from three equally spaced samples. The performance of the frequency estimator is investigated when the signal is corrupted by noise, and algorithms developed which use additional samples to improve the results. It is shown that even under noisy conditions it is possible to obtain a good estimate of frequency using samples taken over a period of less than one cycle. The results are confirmed and… Expand
A novel frequency estimator and its comparative performances for short record lengths
  • H. So, S. Ip
  • Computer Science
  • 2002 11th European Signal Processing Conference
  • 2002
Frequency Estimation of Real-Valued Single-Tone Using High Lags Autocorrelation
  • Lei Zhu, Ji-hong Shen
  • Mathematics
  • 2015 IEEE International Conference on Computational Intelligence & Communication Technology
  • 2015
Low-complexity tracking and estimation of frequency and amplitude of sinusoids
Improved Variant of Pisarenko Harmonic Decomposition for Single Sinusoidal Frequency Estimation
  • K. Lui, H. So
  • Mathematics, Computer Science
  • IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
  • 2007
Reformulation of Pisarenko harmonic decomposition method for single-tone frequency estimation
  • H. So, K. Chan
  • Mathematics, Computer Science
  • IEEE Transactions on Signal Processing
  • 2004
Instantaneous line-frequency measurement under nonstationary situations
A simple algorithm for power system frequency estimation
  • A. Sarkar, S. Sengupta
  • Mathematics
  • 2010 Joint International Conference on Power Electronics, Drives and Energy Systems & 2010 Power India
  • 2010
Real-valued single-tone frequency estimation using half-length autocorrelation


Accurate frequency estimation from five samples
Spectral analysis and discrimination by zero-crossings
  • B. Kedem
  • Computer Science
  • Proceedings of the IEEE
  • 1986