In this paper, we study the trade-off between complexity and performance in massive MIMO systems with neural-network based digital pre-distortion (NN-DPD) blocks at the base station. In particular, we ...

In the recent days Machine Learning algorithms are widely used in the Optical domain. In this paper we have applied machine learning algorithm to mitigate the modulation nonlinearity distortions ...

Machine Learning-Based Digital Pre-Distortion Scheme for RoF Systems and Experimental 5G mm-waves Fiber-Wireless Implementation. Authorship SCIMAGO INSTITUTIONS RANKINGS. Abstract. The advent of the ...

The topics will range from basics of information theory, entropy and fundamental limits of data compression, channel capacity & least informative priors, rate-distortion theory, Kolmogorov complexity ...

The International Conference on Machine Learning (ICML 2023) serves as a global platform where researchers, academics, and industry professionals gather to share their pioneering work and advancements ...

But their de-obfuscating machine learning software was often still in the 50 percent to 75 percent range. The lowest success rate was 17 percent on a data set of celebrity faces obfuscated with ...

Augmentor is an image augmentation library in Python for machine learning. It aims to be a standalone library that is platform and framework independent, which is more convenient, allows for finer ...