Index Modulation

Index modulation (IM) is a signal processing technique that encodes information not only in the amplitude and phase of a signal, but also in its selection index from a codebook or set of waveforms. Current research focuses on improving IM's performance in various applications, including watermarking, image processing, and wireless communication, often leveraging deep learning architectures like convolutional neural networks to enhance detection and demodulation accuracy. These advancements aim to improve robustness, efficiency, and data capacity in diverse fields, offering potential benefits for data security, communication systems, and machine learning.