Abstract: Towards the challenges of high dynamic signal-to-noise ratio (SNR) variation and multi-source channel overlapping, a YOLO-driven adaptive focusing network (YOLO-AFNet) is proposed for ...
Abstract: Deep neural networks have achieved promising progress in signal modulation classification (SMC), playing an essential role in a variety of applications such as cognitive radio networks, ...
AIM: To write a program for Frequency Modulation and Demodulation using SCILAB and to observe and measure the frequency deviation and the modulation index of FM. Frequency modulation is a type of ...
A work envelope, or robot's workspace, is the spatial region a robot can reach with its end-effector. Understanding a robot's work envelope is vital for design, assessing capabilities, and determining ...