Analog signal representation remains essential for interfacing with the physical world and for achieving low power, compact, and high-speed system designs. This work proposes a novel analog representation using inter-pulse time (IPI), encoding signal values in time rather than magnitude. Unlike conventional voltage-, current-, or pulse-based methods, the IPI approach supports both communication and computation without domain conversion. The thesis presents new IPI-based circuits for signal conversion and arithmetic operations, validated through analysis, simulation, and CMOS implementation. Results demonstrate noise immunity, low power consumption, and applicability to communications, signal processing, instrumentation, and neural networks.
