112 citations · 399 across the 29 of their papers we have counts for
6 papers · 1 filter
Stable Embedding of Grassmann Manifold via Gaussian Random matrices
Hailong Shi, Hao Zhang, Gang Li +1
In this paper, we explore a volume-based stable embedding of multi-dimensional signals based on Grassmann manifold, via Gaussian random measurement matrices. The Grassmann manifold…
Fundamental Limits of HRR Profiling and Velocity Compensation For Stepped-Frequency Waveforms
Yimin Liu, Xiqin Wang, Tianyao Huang
The stepped-frequency (SF) waveform is an effective way to achieve high range resolution (HRR) in modern radars. In this paper, we determine some fundamental limits of SF waveforms…
Cognitive Random Stepped Frequency Radar with Sparse Recovery
Tianyao Huang, Yimin Liu, Huadong Meng +1
Random stepped frequency (RSF) radar, which transmits random-frequency pulses, can suppress the range ambiguity, improve convert detection, and possess excellent electronic counter…
Adaptive matching pursuit for off-grid compressed sensing
Tianyao Huang, Yimin Liu, Huadong Meng +1
Compressive sensing (CS) can effectively recover a signal when it is sparse in some discrete atoms. However, in some applications, signals are sparse in a continuous parameter spac…
Quasi-Equiangular Frame (QEF) : A New Flexible Configuration of Frame
Hailong Shi, Hao Zhang
Frame theory is a powerful tool in the domain of signal processing and communication. Among its numerous configurations, the ones which have drawn much attention recently are Equia…
Tight is better: Performance Improvement of the Compressive Classifier Using Equi-Norm Tight Frames
Hailong Shi, Hao Zhang
Detecting or classifying already known sparse signals contaminated by Gaussian noise from compressive measurements is different from reconstructing sparse signals, as its objective…