Abstract: This paper proposes a waveform design technique for dual-function radar-communication (DFRC) systems that employ hybrid linear-nonlinear precoding (HLNP). The HLNP signal is a superposition ...

Abstract: Nonlinear models with a linear-in-coefficients property, i.e., the property that the model output is linear with respect to model coefficients, are highly valuable for behavioral modeling of ...

From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

With age comes wisdom—and the women of this year’s 50 Over 50 list are living proof. Knowing what they know now, what would they tell their younger selves? We asked, and they answered. The Forbes 50 ...

KENOSHA, Wis. and AUERBACH IN DER OBERPFALZ, Germany, April 17, 2025 (GLOBE NEWSWIRE) -- CHERRY, the global leader in mechanical keyboard switch innovation, is proud to introduce the MX Northern Light ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...