Autocorrelation-based algorithm for single-frequency estimation
Signal Processing
Near optimum sampling design and an efficient algorithm for single tone frequency estimation
Digital Signal Processing
An improved residual frequency offset estimation scheme for OFDM based WLAN systems
Digital Signal Processing
A robust periodogram for high-resolution spectral analysis
Signal Processing
Generalization of iterative Fourier interpolation algorithms for single frequency estimation
Digital Signal Processing
A detailed investigation into low-level feature detection in spectrogram images
Pattern Recognition
Fast communication: Robust M-periodogram with dichotomous search
Signal Processing
Entropy-based subspace separation for multiple frequency estimation
Digital Signal Processing
On the detection of tracks in spectrogram images
Pattern Recognition
Performance study of residual carrier frequency offset estimation methods in OFDM WLAN systems
Digital Signal Processing
Computationally Efficient Single-Frequency Estimation Scheme in High-Rate WPAN Systems
Wireless Personal Communications: An International Journal
Hi-index | 754.84 |
Estimation of the parameters of a single-frequency complex tone from a finite number of noisy discrete-time observations is discussed. The appropriate Cramér-Rao bounds and maximum-likelihood (MI.) estimation algorithms are derived. Some properties of the ML estimators are proved. The relationship of ML estimation to the discrete Fourier transform is exploited to obtain practical algorithms. The threshold effect of one algorithm is analyzed and compared to simulation results. Other simulation results verify other aspects of the analysis.