IEEE

Sparse Bayesian Learning Using Complex t-Prior for Beam-Domain Massive MIMO Channel Estimation

Abstract: This paper proposes a novel beam-domain channel estimation (CE) algorithm via sparse Bayesian learning (SBL) using complex t-prior for massive multi-user multiple-input multiple-output (MIMO ...
IEEE

Efficient Decomposition of Multistage Composite Length FFT for Complex and Real Signals

Abstract: Fast Fourier Transform (FFT) algorithms play a fundamental role in modern digital signal processing (DSP). A composite length FFT decomposes a longer-length FFT into multiple shorter-length ...
marktechpost

How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...