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Digital-Augmented Analog Design
2002 - 2003
In 2002-2003, digital, symbolic, and equation-driven computer-aided design tools began to influence analog block design, enabling topology exploration and cross-architecture verification. Integrated design automation and silicon compilation workflows started to bridge the gap from specification to silicon, supporting end-to-end analog/VLSI design that links modeling, synthesis, and physical realization. Emphasis on calibration, self-test, and constraint-aware instrumentation matured, with digital background calibration and mismatch analysis improving ADC/DAC performance and yield. Current-mode and neuromorphic-inspired analog circuits highlighted low-power, scalable computation and enhanced testability, while automation of readouts and instrument interpretation moved toward constraint-aware design of analog displays.
• Symbolic, equation-driven CAD and knowledge manipulation enable flexible analog block design and topology exploration, linking design equations to simulation and verification tools across architectures. [1], [2], [4].
• Integrated design automation and silicon compilation workflows combine equation-based design, symbolic analysis, and physical assembly, enabling end-to-end analog/VLSI design from spec to silicon. [1], [2], [3], [14].
• Systematic calibration and self-test strategies for ADCs/DACs and mismatches using digital background calibration, oscillation-based testing, and mismatch analysis to improve accuracy and yield. [11], [20], [16], [10], [5].
• Current-mode and neuromorphic-inspired analog circuits emphasize low-power, scalable analog computation and testability, showcasing current-based signaling and architecture-level concepts. [6], [17].
• Automated interpretation of analog displays and readouts, including automatic instrument reading and constraint-aware design for analog instrumentation. [8], [12].