Dynamical Study of a Second Order DPCM Transmission System Modeled by a Piece-Wise Linear Function

TL;DR

This paper investigates the complex nonlinear dynamics of a second order DPCM system with a piece-wise linear quantizer, revealing phenomena like chaos and multistability through bifurcation analysis.

Contribution

It introduces a novel application of noninvertible map theory to analyze DPCM systems with nonlinear quantizers, uncovering new dynamical properties.

Findings

Identification of bifurcation curves and chaotic regimes

Discovery of multistability and fractal basin boundaries

Demonstration of complex dynamics in constant input signals

Abstract

This paper analyses the behaviour of a second order DPCM (Differential Pulse Code Modulation) transmission system when the nonlinear characteristic of the quantizer is taken into consideration. In this way, qualitatively new properties of the DPCM system have been unravelled, which cannot be observed and explained if the nonlinearity of the quantizer is neglected. For the purposes of this study, a piece-wise linear nondifferentiable quantizer characteristic is considered. The resulting model of the DPCM is of the form of iteration equations (i.e. map), where the inverse iterate is not unique (i.e. noninvertible map). Therefore the mathematical theory of noninvertible maps is particularly suitable for this analysis, together with the more classic tools of Non Linear Dynamics. This study allowed us in addition to show from a theoretical point of view some new properties of nondifferentiable maps, in comparison with differentiable ones. After a short review of noninvertible maps, the presented methods and tools for noninvertible maps are applied to the DPCM system. An original algorithm for calculation of bifurcation curves for the DPCM map is proposed. Via the studies in the parameter and phase plane, different nonlinear phenomena such as the overlapping of bifurcation curves causing multistability, chaotic behaviour, or multiple basins with fractal boundary are pointed out. All observed phenomena show a very complex dynamical behaviour even in the constant input signal case, discussed here.