×

Simulation of modulated signals. (English) Zbl 0537.94004

Summary: A new formulation for the simulation of modulated signals based on a generalized structure is presented. In this approach a modulated signal is characterized in terms of a time-varying system whose differential equation is simulated. Algorithms presented in the paper may also be used to track signal parameters such as the envelope and the carrier. This concept is illustrated by several algorithms of AM and FM simulators.

MSC:

94A14 Modulation and demodulation in information and communication theory
93C99 Model systems in control theory
PDFBibTeX XMLCite
Full Text: DOI

References:

[1] Hess, D. T., FM differential equation, Proc. IEEE, Vol. 54, No. 8, 1089 (1966)
[2] Zayezdny, A. M.; Zaytsev, V. A., Signal-structure parametric filters and their use of separating signals, Telecommunication Radio Engng, Vol. 26, No. 1, 86-94 (1971)
[3] Sudakov, S. S., Theory of the structural synthesis of linear radio networks, Telecommunication Radio Engng, Vol. 23, No. 11, 60-63 (1968)
[4] Plotkin, E., Function elimination filters to reject the \(N\)-order exponential signal, European Conf. Circuit Theory and Design, 422-427 (1978), Switzerland
[5] Swamy, M. N.S.; Plotkin, E. I.; Roytman, L. M.; Zayezdny, A. M., One approach to simulation of modulated signals, Proc. IEEE Intern. Conf. on Acoustics, Speech and Signal Processing, 276-279 (April 1983), Boston, Mass.
[6] Ince, E. L., Ordinary Differential Equations (1956), Dover Publications: Dover Publications New York · Zbl 0063.02971
[7] Plotkin, E., Notch filter based on identical building blocks with arbitrary transfer function, Int. J. Circuit Theory Appl., Vol. 8, 31-37 (1980)
[8] Plotkin, E., Using linear prediction to design a function elimination filter to reject sinusoidal interference, IEEE Trans. Acoustics, Speech and Signal Process, Vol. ASSP-27, No. 5, 501-506 (1979) · Zbl 0426.93054
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.