Investigate irregular patterns in ambient recordings using spectral, modulation, and inharmonicity-based methods. This repository contains audio samples and signal analyses exploring potential ...

Official PyTorch implementation of RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. Given reference images of preferred style or content, our method, ...

Optical modulation is the process of changing one or more parameters of a light wave, usually by applying an external stimulus such as an electric field, a magnetic field, or a mechanical strain. The ...

Ever wondered what modulation really means in simple terms? Read on to find out. Modulation is central to the operation of broadband communication technologies, enabling high-speed, efficient, and ...

Automatic modulation recognition (AMR) is vital for 5G/6G, yet existing methods often overlook the specific spectral structures of dominant OFDM systems. To address this, we propose the Fourier ...

Abstract: Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficiency. This ...

Abstract: Rank modulation is a way of encoding information to correct errors in flash memory devices as well as impulse noise in transmission lines. Modeling rank modulation involves construction of ...