Adaptive discovery of sparse signals in noise

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2008, Pages 1727-1731

  Haupt, Jarvis ^a   Castro, Rui ^b   Nowak, Robert ^a  

^a Wisconsin Electric Machines and Power Electronics Consortium   (United States)

^b Department of Earth and Environmental Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SENSING; DETECTION METHODS; DETECTION PROBLEMS; HIGH-DIMENSIONAL; MULTI-STEP; RESAMPLING; SAMPLE ANALYSIS; SIGNAL SUB-SPACE; SPARSE SIGNALS;

SIGNAL DETECTION;

EID: 70349655535     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2008.5074721     Document Type: Conference Paper

References (4)

1. D. Donoho and J. Jin, "Higher criticsm for detecting sparse heterogenous mixtures," Ann. Statist., vol. 32, no. 3, pp. 962-994, 2004.
2. J. Jin, "Detecting a target in very noisy data from multiple looks," Inst. Math. Statist. (IMS) Lecture Notes, vol. 45, pp. 255-286, 2004.
3. H. Chernoff, "A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations," Ann. Statist., vol. 23, pp. 493-507, 1952.
4. S. Verdu, Multiuser Detection, Cambridge University Press, New York, 1998.