Modeling Dynamic Parasitic Loading Effects on Scan Network Timing Margins
Dynamic parasitic extraction during ATPG shift prevents false timing violations by accounting for state-dependent capacitance and power rail collapses.
Clock Jitter Modeling
Uncertainty Standard
Signal timing analysis characterization quantifies cycle-to-cycle edge placement variation in high-speed digital clock networks. Engineering teams apply clock jitter modeling during high-speed printed circuit board signoff to verify timing margins across serial communication channels and memory buses. The mathematical formulation converts phase noise spectra and random thermal noise components into deterministic jitter parameters used in static timing analysis.
Applicability stops at non-deterministic power supply distribution anomalies that exceed linear system assumption thresholds.
Phase Noise
Frequency domain representations of oscillator instability supply the raw spectral density data required for temporal analysis. Phase noise integration across specified offset frequency bands yields peak-to-peak and root-mean-square timing uncertainty metrics for system verification. Integrating clock jitter modeling into signal integrity simulation suites enables automated prediction of bit error rates before physical board fabrication occurs.
Automated extraction scripts translate spectral spur magnitudes into equivalent period jitter values for system validation. High-frequency phase noise components dominate short-term clock edge variation, while low-frequency components appear as wandering drift across multiple clock cycles.
Timing Margin
Setup and hold verification relies on accurate clock edge probability distributions. Standard timing analysis applies clock jitter modeling coefficients to shrink available clock period budgets, preventing timing violations during physical operation.