A novel approach to the design of DSP systems using minimum complexity finite state machines

Presents a novel approach to the design and realization of digital signal processing (DSP) systems by utilizing finite state machines (FSM). The DSP system is modelled by mapping all its potential states into an FSM, whose complexity is usually very high. The FSM mirrors the complete functionality of the system and thus describes its behavior in full detail. Examples for FSMs of first and second order digital recursive filters are provided and the current version of the software simulating the FSM corresponding to any linear time-invariant DSP system is described. The potential of this approach including state reduction techniques as well as the inclusion of nonlinear DSP systems is also outlined, and future research intentions are briefly explored