2 citations · 2 across the 3 of their papers we have counts for
7 papers
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars
Li Bin, Wang Shuseng, Zhang Jun +2
Subspace methods are essential to high-resolution environment sensing in the emerging unmanned systems, if further combined with the millimeter-wave (mm-Wave) massive multi-input m…
High-dimensional Metric Combining for Non-coherent Molecular Signal Detection
Zhuangkun Wei, Weisi Guo, Bin Li +2
In emerging Internet-of-Nano-Thing (IoNT), information will be embedded and conveyed in the form of molecules through complex and diffusive medias. One main challenge lies in the l…
Sequential Bayesian Detection of Spike Activities from Fluorescence Observations
Zhuangkun Wei, Bin Li, Weisi Guo +2
Extracting and detecting spike activities from the fluorescence observations is an important step in understanding how neuron systems work. The main challenge lies in that the comb…
Robust Fuzzy-Learning For Partially Overlapping Channels Allocation In UAV Communication Networks
Chaoqiong Fan, Bin Li, Jia Hou +3
In this paper, we consider a mesh-structured unmanned aerial vehicle (UAV) networks exploiting partially overlapping channels (POCs). For general data-collection tasks in UAV netwo…
Model-Free Information Extraction in Enriched Nonlinear Phase-Space
Bin Li, Yueheng Lan, Weisi Guo +1
Detecting anomalies and discovering driving signals is an essential component of scientific research and industrial practice. Often the underlying mechanism is highly complex, invo…
Cooperative spectrum sensing with enhanced energy detection under GAUSSIAN noise uncertainty in cognitive radios
He Huang
This paper presents optimization issues of energy detection (ED) thresholds in cooperative spectrum sensing (CSS) with regard to general Gaussian noise. Enhanced ED thresholds are…