pdf matching
Recently Published Documents

TOTAL DOCUMENTS

4

(FIVE YEARS 0)

H-INDEX

3

(FIVE YEARS 0)

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Multivariate PDF matching via kernel density estimation

2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) ◽

10.1109/cimsivp.2014.7013285 ◽

2014 ◽

Cited By ~ 4

Author(s):

Denis G. Fantinato ◽

Levy Boccato ◽

Romis Attux ◽

Aline Neves

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Pdf Matching

Download Full-text

Blind adaptive equalizer based on pdf matching for Rayleigh time-varying channels

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2010.5757600 ◽

2010 ◽

Cited By ~ 2

Author(s):

Adel Daas ◽

Stephan Weiss

Keyword(s):

Time Varying ◽

Adaptive Equalizer ◽

Blind Adaptive ◽

Pdf Matching ◽

Time Varying Channels

Download Full-text

Adaptive blind multiuser equalizer based on pdf matching

2009 International Conference on Telecommunications ◽

10.1109/ictel.2009.5158646 ◽

2009 ◽

Cited By ~ 3

Author(s):

Adel Daas ◽

Mahmoud Hadef ◽

Stephan Weiss

Keyword(s):

Pdf Matching

Download Full-text

Notes on Bell-Sejnowski PDF-Matching Neuron

Neural Computation ◽

10.1162/089976602760805304 ◽

2002 ◽

Vol 14 (12) ◽

pp. 2847-2855 ◽

Cited By ~ 3

Author(s):

Simone Fiori

Keyword(s):

Probability Density Function ◽

Probability Density ◽

Maximum Entropy ◽

Density Function ◽

Single Unit ◽

Neuron Model ◽

Maximum Entropy Principle ◽

Entropy Principle ◽

Single Input ◽

Pdf Matching

This article investigates the behavior of a single-input, single-unit neuron model of the Bell-Sejnowski class, which learn through the maximum-entropy principle, in order to understand its probability density function matching ability.

Download Full-text