Neuro-fuzzy systems is a soft computing technique for developing intelligent systems that
solve complex real-world problems in a way that closely resembles human reasoning. In this …

This paper presents an overview of common-centroid (CC) layout styles, used in analog
designs to overcome the impact of systematic variations. CC layouts must be carefully …

A novel analog integrated implementation of a hardware-friendly support vector machine
algorithm that can be a part of a classification system is presented in this work. The utilized …

Abstract An Integrated Analog Gaussian Mixture Model classifier architecture is introduced
consisting of multiple Gaussian function circuits and a Winner-Take-All circuit. It is modular …

Electromyography is a diagnostic medical procedure used to assess the state of a muscle
and its related nerves. Electromyography signals are monitored to detect neuromuscular …

Deep-brain stimulation (DBS) is an emerging research topic aiming to improve the quality of
life of patients with brain diseases, and a great deal of effort has been focused on the …

Analog designs consist of multiple hierarchical functional blocks. Each block can be built
using one of several design topologies, where the choice of topology is based on circuit …

Despite recent developments in automated analog sizing and analog layout generation,
there is doubt whether analog design automation techniques could scale to system-level …

A low-power (∼ 600nW), fully analog integrated architecture for a voting classification
algorithm is introduced. It can effectively handle multiple-input features, maintaining …

A low-power, integrated, fully-analog classification system, appropriate for battery-
dependent operation is proposed. It is comprised of an analog feature-extraction block and …