We describe a signal processing method for demodulation of digital signals based on Hilbert transform (HT). 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 [1]. 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) [2]. Typical applications include data analysis as a bank of matched lters [3], data communi- cation of electric and acoustic soil response and sea autonomous platforms. References [1] M.R. Capobianco, G. Criscuolo, Some Remarks about the Hilbert Transform, Journal of Research in Applied Mathematics, 5 (2019) pp.16-24 [2] J.C. Goswami, A.E. Hoefel, Algorithms for estimating instantaneous frequency, Signal Processing 84 (2004) pp.1423-1427 [3] 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, doi.org/10.1006/jcph.1997.5857

This paper describes a signal processing application an embedded hardware platform, based on Hilbert transform method for demodulation of digital signals.

Using the simulated annealing technique we re-examine the role played by the minimization of the physicochemical distances between amino acids during the origin of the organization of the genetic code. The results are discussed in the context of the various hypotheses proposed to explain how amino acids were allocated in the genetic code.