Extending the threshold and frequency range for phase-based frequency estimation
ML Fowler, JA Johnson - IEEE transactions on signal …, 1999 - ieeexplore.ieee.org
ML Fowler, JA Johnson
IEEE transactions on signal processing, 1999•ieeexplore.ieee.orgStandard phase-based frequency estimation has a threshold that is high, is frequency
dependent, and does not decrease with increasing signal length. These problems are
solved by processing the signal with a highly overlapped filter bank before applying phase-
based frequency estimation. By exploiting decimation, a closed-form matrix inversion, and
cascades of simple filter banks, the computational complexity is kept low.
dependent, and does not decrease with increasing signal length. These problems are
solved by processing the signal with a highly overlapped filter bank before applying phase-
based frequency estimation. By exploiting decimation, a closed-form matrix inversion, and
cascades of simple filter banks, the computational complexity is kept low.
Standard phase-based frequency estimation has a threshold that is high, is frequency dependent, and does not decrease with increasing signal length. These problems are solved by processing the signal with a highly overlapped filter bank before applying phase-based frequency estimation. By exploiting decimation, a closed-form matrix inversion, and cascades of simple filter banks, the computational complexity is kept low.
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