A geometrical derivation of the excess mean square error for Bussgang algorithms in a noiseless environment

Signal Processing

Volumn 84, Issue 2, 2004, Pages 311-315

  Goupil, Alban ^a   Palicot, Jacques ^b,c  

^a ORANGE LABS   (France)

^b Inst Rech Info Syst Aleatoires   (France)

^c SUPELEC Campus de Rennes   (France)

Author keywords

Adaptive filtering; Blind equalization; Excess mean square error; Pythagoras theorem

Indexed keywords

ATTENUATION EQUALIZERS; BLIND SOURCE SEPARATION; ERROR ANALYSIS; FUNCTION EVALUATION; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; SIGNAL THEORY; SPURIOUS SIGNAL NOISE;

COST FUNCTION EVALUATION; MEAN SQUARE ERRORS;

ADAPTIVE FILTERING;

EID: 0346093738     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2003.10.020     Document Type: Conference Paper

References (5)

1. Brandwood D.H. A complex gradient operator and its application in adaptive array theory. IEE Proc. 1(130):1983;11-16.
2. Fijalkow I., Manlove C.E., Johnson C.R. Jr. Adaptive fractionally spaced blind CMA equalization: excess. MSE IEEE Trans. Signal Process. 46(1):1998;227-231.
3. Godard D.N. Self-recovering equalization and carrier tracking in two-dimensional data communication systems. IEEE Trans. Commun. COM-28. 11:1980;1867-1875.
4. Mai J., Sayed A.H. A feedback approach to the steady-state performance of fractionally spaced blind adaptive equalizers. IEEE Trans. Signal Process. 48(1):2000;80-91.
5. Moustakides G.V. Locally optimum adaptive signal processing algorithms. IEEE Trans. Signal Process. 46(12):1998;3315-3325.