IEEE

RECLNet: Riemannian Manifold Enhanced Contrastive Learning Framework for PolSAR Image Few-Shot Classification

Abstract: In recent years, contrastive learning (CL) methods have achieved remarkable success in few-shot classification of polarimetric synthetic aperture radar (PolSAR) images. However, existing CL ...
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 ...