Zuozhen Wang

Orcid: 0000-0002-1523-9853

Affiliations:
  • University of Electronic Science and Technology of China, China


According to our database1, Zuozhen Wang authored at least 14 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
Persymmetric Adaptive Detection With Reduced-Dimension Approach.
IEEE Signal Process. Lett., 2020

Adaptive detection of multichannel signals without training data.
Signal Process., 2020

Modified Rao test for distributed target detection in interference and noise.
Signal Process., 2020

Adaptive detection of distributed targets in noise and interference which is partially related with targets.
Digit. Signal Process., 2020

Adaptive detection of a subspace signal in Gaussian noise and rank-one interference.
Digit. Signal Process., 2020

Distributed Target Detection Using Samples Filtered with Normalized Conjugate Signal Steering Vector.
Circuits Syst. Signal Process., 2020

Adaptive Detection of a Subspace Signal in Structured Random Interference Plus Thermal Noise.
Circuits Syst. Signal Process., 2020

2019
Adaptive detection of point-like targets based on a reduced-dimensional data model.
Signal Process., 2019

Adaptive GLR-, Rao- and Wald-based CFAR detectors for a subspace signal embedded in structured Gaussian interference.
Digit. Signal Process., 2019

Data dividing based approach for target detection with limited secondary data.
Proceedings of the 2019 International Conference on Control, 2019

2018
CFAR subspace detectors with multiple observations in system-dependent clutter background.
Signal Process., 2018

2017
A New Variable Step-Size Affine Projection Sign Algorithm Based on A Posteriori Estimation Error Analysis.
Circuits Syst. Signal Process., 2017

A New Data-Reusing Algorithm Based on Minimum Norm and Minimum Disturbance Principles.
Circuits Syst. Signal Process., 2017

2016
Adaptive combination of affine projection and NLMS algorithms based on variable step-sizes.
Digit. Signal Process., 2016


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