scispace - formally typeset
M

Marek Perkowski

Researcher at Portland State University

Publications -  338
Citations -  6047

Marek Perkowski is an academic researcher from Portland State University. The author has contributed to research in topics: Logic synthesis & Boolean function. The author has an hindex of 38, co-authored 328 publications receiving 5809 citations. Previous affiliations of Marek Perkowski include East West University & Warsaw University of Technology.

Papers
More filters
Proceedings ArticleDOI

Automated synthesis of microprogrammed control units in DIADES

TL;DR: A new microprogrammed controller model that is suitable for design automation and formal description is described, which permits design and optimization of controllers ranging from a very basic microcontroller to a very complex one.
Proceedings ArticleDOI

The encoding program for concurrent finite state machines realized using PLD devices

TL;DR: Program AE, Assignment Expert, is described, which finds the encodings of input ports, output ports and internal states of the FSMs, and finds the solution to the constrained problem of simultaneous input/output/internal-state assignment of CFSMs.
Journal ArticleDOI

Fault Models for Quantum Mechanical Switching Networks

TL;DR: In this article, the authors developed fault models for quantum binary circuits that enable testing at the logical level, and adapted the classical test set generation technique known as constructing a fault table to generate quantum test sets.
Proceedings ArticleDOI

An efficient computer algorithm for the calculation of Walsh transform for completely and incompletely specified multiple-valued input binary functions

TL;DR: An efficient computer implementation of an originally developed spectral representation of multiple-valued input binary functions is presented, which allows for the calculation of the spectra of binary functions having an arbitrary number of literals.
Proceedings ArticleDOI

Extending Classical Test to Quantum

TL;DR: This work presents new fault models to represent crosstalk and unwanted nearest neighbor entanglement, and introduces a method of probabilistic set covering to identify a set of tests that has the highest probability of detecting a fault.