ABSTRACT

The basic idea behind continuous-time digital signal processing (DSP) systems is to perform signal processing only when the input signal has changed by a certain amount. In a continuous-time realization, the registers are replaced by continuous-time delay lines to eliminate the clock. The proposed methods can bring continuous-time systems an important step closer to commercial application. Event-driven systems based on continuous-time DSPs can be attractive for a number of applications including biomedical implants. Key components of digital signal processing systems are arithmetic units with adders and multipliers, and delay elements. Digital filtering is one of the most often implemented functionalities realized by digital signal processing systems. A promising approach for the reduction of implementation costs and for improving performance of time-continuous DSP systems is to use sigma-delta modulation for quantization. The basic idea behind continuous-time DSP systems is to perform signal processing only when the input signal has changed by a certain amount.