Mohsen Baqery is a Guide Staff Writer from Turkey. With a passion for gaming that borders on obsession, Mohsen thrives on guiding fellow gamers through the most challenging obstacles while exploring ...
Abstract: Recent advances in deep learning-based signal re-representation methods have achieved significant breakthroughs in tasks like signal modulation recognition. In this paper, we propose a ...
Pulse density modulation (PDM) is a compact digital audio format used in devices like MEMS microphones and embedded systems. This compact primer eases you into the essentials of PDM audio. Let’s begin ...
Abstract: Deep learning (DL)-based automatic modulation classification (AMC) exhibits substantial potential to improve signal processing accuracy and efficiency in intelligent communication systems.
Doing more with less in electronics often means improving power density. One of the new areas garnering attention involves applying a variety of advanced modulation techniques, including PWM and space ...
van Vliet and colleagues present results of a study correlating internal states of a convolutional neural network trained on visual word stimuli with evoked MEG potentials during reading. In this ...
Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, United ...
Introduction: Automatic modulation recognition (AMR) plays a crucial role in modern communication systems for efficient signal processing and monitoring. However, existing modulation recognition ...
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