References
- [1] Wang, F., Bollen, M. (2004). Frequency response characteristics and error estimation in RMS measurement. 1569-1578.
- [2] Wand, M., Sun, Y. (2004). A practical, precise method for frequency tracking and phasor estimation. Trans. Power Delivery
- [3] Agrež, D. (2010). Estimation and tracking of the power quality disturbances in the frequency domain. Meas. Sci. Rev.,
- [4] Terzija, V.V. (2003). Improved recursive Newton-type algorithms for frequency and spectra estimation in power systems. 1654-1659.
- [5] Sidhu, T.T. (1999). Accurate measurement of power system frequency using a digital signal processing technique.
- [6] Arpaia, P., Cruz Serra, A., Daponte, P., Monteiro, C.L. (2001). A critical note to IEEE 1057-94 standard on hysteretic ADC dynamic testing. Meas.
- [7] Wu, J., Long, J., Wang, J. (2005). High-accuracy, wide-range frequency estimation methods for power system signals under nonsinusoidal conditions. Trans. Power Delivery
- [8] So, H.C., Chan, K.W., Chan, Y.T., Ho, K.C. (2005). Linear prediction approach for efficient frequency estimation of multiple real sinusoids: Algorithms and analyses. 2290-2305.
- [9] Klein, J.D. (2006). Fast algorithms for single frequency estimation. (5), 1762-1770.
- [10] El-Shafey, M.H., Mansour, M.M. (2006). Application of a new frequency estimation technique to power systems. 1045-1053.
- [11] Trapero, J.R., Sira-Ramirez, H., Batlle, V.F. (2007). An algebraic frequency estimator for a biased and noisy sinusoidal signal. 1188-1201.
- [12] Martens, O., Trampark, H., Liimets, A., Nobel, P., Veskimester, A., Jarvalt, A. (2008). DSP-based power quality monitoring device. In Symposium on Intelligent Signal Processing(WISP 2007)
- [13] Hindersah, H., Purwadi, A., Ali, F.Y., Heryana, N. (2011). Prototype development of single phase prepaid KWh meter. In Engineering and Informatics 1-6.
- [14] Petrovic, P. (2010). Fourier coefficient estimation based on the differential values of the processed signal.
- [15] Poberezhskiy, Y.S., Poberezhskiy, G.Y. (2004). Sampling and signal reconstruction circuits performing internal antialiasing filtering and their influence on the design of digital receivers and transmitters. Trans. Circ. Syst.-I
- [16] Cooklev, T. (2006). An efficient architecture for orthogonal wavlet transforms. Lett.
- [17] Schoukens, J., Rolain, Y., Simon, G., Pintelon, R. (2003). Fully automated spectral analysis of periodic signals. 1021-1024.
- [18] Reeves, S.J. (1999). An efficient implementation of the backward greedy algorithm for sparse signal reconstruction. 266-268.
- [19] Kay, S.M. (1988). Modern Spectral Estimation:Theory and Applications. Prentice-Hall.
- [20] Stoica, P., Li, H., Li, J. (2000). Amplitude estimation of sinusoidal signals: Survey, new results, and an application. 338-352.
- [21] Belega, D., Dallet, D., Slepicka, D. (2010). Accurate amplitude estimation of harmonic components of incoherently sampled signals in the frequency domain. IEEE Trans. Instrum. Meas.,
- [22] Pantazis, Y., Roces, O., Stylianou, Y. (2010). Iterative estimation of sinusoidal signal parameters. Signal Process. Lett.
- [23] Hidalgo, R.M., Fernandez, J.G., Rivera, R.R., Larrondo, H.A. (1996). A simple adjustable window algorithm to improve FFT measurements. Instrum. Meas.
- [24] Agrež, D. (2002). Weighted multi-point interpolated DFT to improve amplitude estimation of multifrequency signal. 287-292.
- [25] Agrež, D. (2005). Improving phase estimation with leakage minimization. (4), 1347-1353.
- [26] Tse, N.C.F., Lai, L.L. (2007). Wavelet-based algorithm for signal analysis. Advances in Signal Processing 38916.