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Publications of Author

1. Youngchul Sung, Lang Tong, H. Vincent Poor
   Sensor configuration and activation for field detection in large sensor arrays. [Citation Graph (0, 0)][DBLP]
   IPSN, 2005, pp:167-173 [Conf]
   
2. Youngchul Sung, Lang Tong, H. Vincent Poor
   Neyman-pearson detection of gauss-Markov signals in noise: closed-form error exponentand properties. [Citation Graph (0, 0)][DBLP]
   IEEE Transactions on Information Theory, 2006, v:52, n:4, pp:1354-1365 [Journal]
   
3. Youngchul Sung, Lang Tong, H. Vincent Poor
   A Large Deviations Approach to Sensor Scheduling for Detection of Correlated Random Fields [Citation Graph (0, 0)][DBLP]
   CoRR, 2005, v:0, n:, pp:- [Journal]
   
4. Youngchul Sung, Lang Tong, H. Vincent Poor
   Sensor Configuration and Activation for Field Detection in Large Sensor Arrays [Citation Graph (0, 0)][DBLP]
   CoRR, 2005, v:0, n:, pp:- [Journal]
   
5. 
   Amplify-Forward Relays with Superimposed Pilot Signals for Frequency-Selective Fading Channels. [Citation Graph (, )][DBLP]
   
   
6. 
   Multi-band CSMA/CA-based cognitive radio networks. [Citation Graph (, )][DBLP]
   
   
7. 
   Analysis of CSMA/CA Systems under Carrier Sensing Error: Throughput, Delay and Sensitivity. [Citation Graph (, )][DBLP]
   
   
8. 
   On optimal operating characteristics of sensing and training for cognitive radios. [Citation Graph (, )][DBLP]
   
   
9. 
   Large deviations analysis for the detection of 2D hidden Gauss-Markov random fields using sensor networks. [Citation Graph (, )][DBLP]
   
   
10. 
    Upper bound for the loss factor of energy detection of random signals in multipath fading cognitive radios. [Citation Graph (, )][DBLP]
    
    
11. 
    Neyman-Pearson Detection of Gauss-Markov Signals in Noise: Closed-Form Error Exponent and Properties [Citation Graph (, )][DBLP]
    
    
12. 
    Optimal and Suboptimal Detection of Gaussian Signals in Noise: Asymptotic Relative Efficiency [Citation Graph (, )][DBLP]
    
    
13. 
    Large Deviations Analysis for the Detection of 2D Hidden Gauss-Markov Random Fields Using Sensor Networks [Citation Graph (, )][DBLP]
    
    
14. 
    Information, Energy and Density for Ad Hoc Sensor Networks over Correlated Random Fields: Large Deviations Analysis [Citation Graph (, )][DBLP]
    
    
15. 
    Optimal Node Density for Two-Dimensional Sensor Arrays [Citation Graph (, )][DBLP]
    
    
16. 
    How Much Information can One Get from a Wireless Ad Hoc Sensor Network over a Correlated Random Field? [Citation Graph (, )][DBLP]