4 papers · 1 filter
Truly Sub-Nyquist Generalized Eigenvalue Method with High-Resolution
Baoguo Liu, Huiguang Zhang, Wei Feng +3
The achievement of spectral super-resolution sensing is critically important for a variety of applications, such as radar, remote sensing, and wireless communication. However, in c…
Phase Transitions with Structured Sparsity
Huiguang Zhang, Baoguo Liu
In the field of signal processing, phase transition phenomena have recently attracted great attention. Donoho's work established the signal recovery threshold using indicators such…
Truly Sub-Nyquist Method Based Matrix Pencil and CRT with Super Resolution
Huiguang Zhang, Baoguo Liu
The emergence of ultra-wideband (UWB) and high-throughput signals has necessitated advancements in data sampling technologies1. Sub-Nyquist sampling methods, such as the modulated…
Windowed Compressed Spectrum Sensing with Block sparsity
Huiguang Zhang, Baoguo Liu
Compressed Spectrum Sensing (CSS) is widely employed in spectral analysis due to its sampling efficiency. However, conventional CSS assumes a standard sparse spectrum, which is aff…