Inertialess Nonlinear Systems for Information Coding

Linear properties of primary information converters are mostly used in conventional information coding methods and devices. The more converters are considered suitable for information transmission purposes, the more linear their characteristics are. However, purely linear converters are usually unavailable. Therefore, the devices should operate only in a narrow range, where the converter characteristic is close to linear. Unfortunately, only a low signal-to-noise ratio can be thus obtained. When trying to increase the output level, nonlinear distortions are encountered. If nonlinear elements are employed for information transmission, they are only constituents of the entire conversion system. However, even in this case only linear properties of the system are used. The above conflict is characteristic not only of primary information converters, but also of converters operating on the basis of amplitude, phase, or frequency modulation. A new information coding method is proposed in this work that employs the nonlinear properties of a converter described by a monotonous conversion function f(x). It allows one to avoid the effect of nonlinear distortions and to increase the signal-to-noise ratio. Calculations are presented that concern application of the proposed method for measurements, in the transmission of analog and digital information. Possible applications of the method in analog-to-digital converters are discussed.