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聂 青
信息与电子学院
h-index
561
引用
5
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2008
2018
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(18)
指纹图谱
深入其中 Qing Nie 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Computer Science
Sparsity
100%
feature descriptor
100%
Efficient Computation
100%
Approximation Algorithms
100%
de-noising
100%
Sparse Representation
60%
Spectral Domain
58%
Received Signal Strength
50%
Boundary Region
50%
Class Instance
50%
Local Information
50%
Classification Scheme
50%
Field Programmable Gate Arrays
50%
Image Based Classification
50%
UWB antenna
50%
Graph Theory
50%
Network Coding
50%
Wavelet Transforms
50%
Routing Protocol
50%
Random Network
50%
Multicasting
50%
segmentation accuracy
50%
Global Information
50%
Scale-Invariant Feature Transform
50%
Object Contour
50%
Adaptive Routing
50%
Sliding Window
41%
localization algorithm
33%
Noise-to-Signal Ratio
30%
Connected Component
25%
Transformed Image
25%
Stored Knowledge
25%
Mean Algorithm
25%
Routing Module
25%
Feature Vector
25%
Transmission Network
25%
Compressive Sensing
18%
Combining Method
16%
Target Orientation
16%
Detection Probability
16%
Experimental Result
16%
Parallel Channel
16%
Classifier Evaluation
16%
Systems Performance
16%
Target Position
16%
interpolation algorithm
16%
Expected Result
12%
Network Performance
12%
Effective Throughput
12%
Complex Function
12%
Engineering
Multiscale
75%
Received Signal Strength
50%
Field Programmable Gate Arrays
50%
Hybrid Method
50%
Sparsity
50%
Loss Compensation
50%
Cross Section
33%
Anchors
33%
Longitudinal Direction
33%
Gaussians
33%
Localization Accuracy
33%
Rayleigh Channel
33%
Experimental Result
33%
Boundary Detection
25%
Equal Part
25%
Model Form
25%
Crossing Vessel
25%
Localization Performance
16%
One Dimensional
16%
Multichannel
16%
Two Dimensional
16%
Detection Probability
16%
Gaussian Model
16%
Simulation Result
16%
Probability of False Alarm
16%
Initial Point
16%
Target Orientation
16%
Edge Point
16%
Energy Engineering
16%
Target Position
16%
Determines
16%
Simplifies
16%
Trilateration
16%
Systems Performance
16%
Spectral Domain
8%
Image Restoration
8%
Dimensional Image
8%
State-of-the-Art Method
8%
Captured Image
8%
Compressive Sensing
8%
Image Data
8%
Sensing Principle
8%
Speckle
8%
