We briefly review the current state of the art of microwave CAD technologies. We look into
the history of design optimization and CAD‐oriented modeling of microwave circuits as well …

Due to the scale and computational complexity of current simulation codes, surrogate
models have become indispensable tools for exploring and understanding the design …

This letter presents the adaptation algorithm for setting the parameters of a multistage
continuous-time linear equalizer (CTLE) in serial link applications. A differential evolution …

The performance of a device can be obtained as a continuous function of design parameters
by repeated finite element analysis (FEA) followed by interpolation. Since FEA can provide …

This paper introduces the key principles and applications of particle filtering. Particle Filters
are a class of modern sequential Monte Carlo Bayesian methods based on point mass …

A numerically robust sampling and rational fitting method is introduced, that models the
entire state-space matrix of multiple-input-multiple-output (MIMO) linear time-invariant (LTI) …

Adaptive sampling is a signal processing technique that has been widely employed in the
fields of audio coding and sensor networking. A manifestation of the technique for …

Both commercial and military wireless applications push limits for size and performance. In
the 1970s troops had to make educated guesses about the battlefield situation. Today …

Multiple analysis calls and high computational demand for each analysis present
themselves as important bottlenecks in conducting practical electromagnetic design …

Since some of the real world problems include phase and amplitude information, complex
modeling is more suitable. In this study, the well-used particle swarm optimization, simulated …