FSK-PSK data processing based on direct approximation of the Hilbert transform
We describe a signal processing method for demodulation of digital signals based on Hilbert
We review the signal processing theory and the method of Analytic Signal transformation
(AS) and their algorithms which are implemented by FFT, then we propose a direct method
for the numerical approximation of the Hilbert transform that is a generalization of the al-
gorithm presented in .
The proposed algorithm provides the estimate of instantaneous frequency and phase of the
received signals, and can be used for both binary communication based on phased-shifting
keying (PSK) and frequency-shifting keying (BFSK) .
Typical applications include data analysis as a bank of matched lters , data communi-
cation of electric and acoustic soil response and sea autonomous platforms.
 M.R. Capobianco, G. Criscuolo, Some Remarks about the Hilbert Transform, Journal
of Research in Applied Mathematics, 5 (2019) pp.16-24
 J.C. Goswami, A.E. Hoefel, Algorithms for estimating instantaneous frequency, Signal
Processing 84 (2004) pp.1423-1427
 S. Marano, M. Medugno, M. Longo, A real-time parallel application: the de-
tection of gravitational waves by a network of heterogeneous workstations, Jour-
nal of Computational Physics, Vol. 139, No. 1, January 1 1998, pp.15-34,